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Bhanuprakash Madupati

Department of Corrections, Software engineering, Technology Leader

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Bhanuprakash Madupati is an accomplished Technology Leader and Senior Software Engineer with over 10 years of experience in driving high-performance web applications and solutions. A Senior Member of IEEE and a Full Member of Sigma Xi, Bhanu has a proven track record in designing, developing, and optimizing .NET Core, C#, and front-end technologies such as Angular and React. His expertise spans cloud platforms (AWS, Azure, GCP), microservices, CI/CD pipelines, and system architecture.

Bhanu's leadership is defined by a focus on efficiency, security, and scalability, consistently delivering results that enhance operational performance. In his current role at DOC-MNIT, he has spearheaded the creation of a client management system that increased efficiency by 30%. His collaborative, Agile-driven approach has led to significant improvements in system performance, deployment processes, and team dynamics across various organizations.

Passionate about mentoring, Bhanu actively judges high-profile hackathons and contributes to industry journals, fostering innovation in cloud computing, cybersecurity, and AI-driven development. He has earned numerous awards, including the Global Technology Leaders Award and Indian Achievers' Award, and is a respected speaker and judge at international tech conferences.
Phone: 224 415 4332
Address: 3298 Rembert Dr
Frisco, TX 75033
United States

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Tribhuvan University

Draven Astrologia

Tammam Abdulelah

University of Mustansiriyah

INDIRA GANDHI NATIONAL OPEN UNIVERSITY

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Papers by Bhanuprakash Madupati

E-Classroom for an Underserved Institution

E-Classroom for an Underserved Institution

Challenges in NET Development and Potential Improvements

International Journal For Multidisciplinary Research E-ISSN: 2582-2160 • Impact Factor: 9.24, 2023

The .NET framework has become the most popular and efficient for developing web, desktop, and mob... more The .NET framework has become the most popular and efficient for developing web, desktop, and mobile applications. However, as. Several challenges still necessitate solution development for the NET to advance and facilitate the work of developers towards better results. These are critical subtopics that appear in the context of microservices architecture, cross-platform development, and security concerns specific to ASP.NET, along with integration of Continuous Integration/Continuous Deployment (CI/CD) pipelines. This paper describes these challenges and possible enhancements to fix them. The IT Unit can enhance microservices, crossplatform capabilities, security, and CI/CD with desired optimizations to benefit the firm. In this manner, the NET ecosystem can offer better support to meet the demands of the contemporary software development process.

Kubernetes: Advanced Deployment Strategies-*Technical Perspective

International Journal of Leading Research Publication, 2(4), 1-12, ISSN: 2582-8010, 2021., 2021

Container orchestration is a foundational element of Kubernetes, the pre-eminent container orches... more Container orchestration is a foundational element of Kubernetes, the pre-eminent container orchestration platform responsible for automating the deployment, number of processes, and scaling up and down containers. Advanced Deployment Strategies official Kubernetes Concepts Doc at Kubernetes.org This paper covers some advanced deployment strategies in Kubernetes like Blue-Green Deployment Rolling updates Auto-scaling mechanisms. It is necessary to keep high availability and spare resources in cloud environments. Besides, it comes with continuous service-delivering functionality, particularly in complex Environments. This paper offers an inclusive analysis of the existing research work, which illustrates that all such strategies are combined using Kubernetes to manage resources dynamically, automate micro-services deployment, and provide continuous operations across hybrid/multi-cloud infrastructures. The discussion is exclusively based on the related work from studies regarding Kubernetes deployment techniques and resource management, offering perspectives on difficulties in Kubernetes deployment practices and future directions to be enhanced

Blockchain in Day-to-Day Life: Transformative Applications and Implementation

International Journal For Multidisciplinary Research, 2021

Blockchain technology is a disruptive force in many industries, introducing transparency and secu... more Blockchain technology is a disruptive force in many industries, introducing transparency and security while improving the efficiency of daily processes. This paper discusses blockchain applications in logistics and supply chain, healthcare data management, IoT (Internet of Things), identity verification, government, etc.; for instance, blockchain's decentralised and immutable characteristics provide a solution to some of the most challenging concerns, including data privacy, fraud prevention, and operational inefficiency. The paper further discusses the fusion of blockchain with upcoming fields like artificial intelligence (AI) and IoT, which play more crucial roles in daily life. By deploying blockchain, businesses can optimise their processes without intermediaries and ensure that the data is safe and sound to bolster trust across digital chains. The research helps identify what blockchain is doing now and how the industry may touch all corners of modern life moving forward.

Machine Learning for Cybersecurity in Industrial Control Systems (ICS)

International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences, 2022

CS (Industrial Control Systems) are the backbone of power, water, and manufacturing, amongst othe... more CS (Industrial Control Systems) are the backbone of power, water, and manufacturing, amongst other critical infrastructure sectors. Like everything else, traditional ICS is evolving with the modern Information and Communication Technologies (ICT) getting integrated into its stack, exposing itself to potential cyber-attacks. Because of the real-time operational requirements and legacy technology, traditional security methods are frequently ineffective in protecting ICS. Machine Learning (ML) techniques are the major solution to improve Intrusion Detection Systems (IDS) or Intrusion Prevention Systems (IPS). This article is a survey paper in which we discussed the use of ML for cybersecurity, such as anomaly detection, integrations with crypto, and adversarial attacks within ICS. Through a discussion of the challenges and future directions around the deployment of ML models inside the ICS environment, this work aims to demonstrate how advanced technologies can help safeguard critical infrastructure against adaptive threats. More focus is given to enhancing the robustness and scalability of the ML models across device/ICS networks.

Cybersecurity in daytoday life

Journal of Mathematical & Computer Applications, 2022

Cybersecurity has become one of the most important elements of our daily lives, both for individu... more Cybersecurity has become one of the most important elements of our daily lives, both for individual and business purposes, as we are connected virtually more than ever. With threats of all kinds, from those targeting personal mobile devices to phishing attacks and ransomware, the importance of thorough cybersecurity practices cannot be overstated. In this paper, we provide hands-on practical insights into how one might apply cybersecurity practices to what is soon to be (if not already) everyday activities. The paper focuses on common cyber threats, such as phishing or ransomware, and includes practical technical solutions to reduce the risks resulting from these attacks. Multiple reports on this problem have been improved in the paper by proposing multifactor authentication, encryption protocols, permanent propagation patches, and user education as basic elements of a proactive cybersecurity strategy. Learning and applying these safety measures is critical in protecting personal details and preserving privacy in a world where people continually access digital technology daily.

Data science in public relations software development

Journal of Mathematical & Computer Applications, 2022

The integration of data science into public relations (PR) software development has revolutionize... more The integration of data science into public relations (PR) software development has revolutionized the field by providing PR professionals with advanced tools for analyzing, managing, and leveraging data to craft effective communication strategies. This paper investigates how data science enhances PR software tools, emphasizing areas such as advanced analytics, sentiment analysis, media monitoring, and campaign optimization. By employing sophisticated techniques from machine learning, natural language processing, and big data analytics, PR software now offers enhanced capabilities for understanding public sentiment, monitoring media coverage, and optimizing campaign performance. The paper outlines the benefits of these technological advancements, discusses the challenges and limitations faced during implementation, and explores future directions for the continued integration of data science in PR software development. The study underscores the transformative impact of data science on PR practices and highlights ongoing trends and potential future developments.

Cybersecurity in the Airline Industry: A Technical Perspective

International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences, 2022

Modern airline companies constantly rely on interconnected digital systems and networks; thus, th... more Modern airline companies constantly rely on interconnected digital systems and networks; thus, the industry is becoming more susceptible to cybersecurity risks. This paper aims to analyze methods to improve the industry’s cybersecurity by technical means with emphasis on the protection of infrastructure, data and applications. These are secure software development, endpoint protection, IDP, MFA, and encryption.Further, incorporating AI capabilities for real time threat detection and better security monitoring for new challenges in airline cybersecurity is also proposed

Web Development in the Next Generation Using AI and Data Science

European Journal of Advances in Engineering and Technology, 2022

The advancement in web development has posed new challenges and possibility with efficiency use o... more The advancement in web development has posed new challenges and possibility with efficiency use of Artificial Intelligence (AI) and Data Science. AI solution is redefining the World Wide Web by allowing it to be designed, optimised and secured while Data Science helps it to be foresighted, gaining a comprehensive understanding of the customer needs. In this paper, the author discusses the applicability of AI in automating Web development tasks, performance optimization through better caching systems, security through intelligent threat detection, and Web traffic through analytics. Furthermore, the paper reveals the further advancement of AI no-code/low-code base and some of the ethical concerns that relate to data privacy. Exploring the current state of progress and the possible directions for the development of AI and Data Science, this paper proves how these fields are going to influence the future of web development.

Skill gaps and underserved areas in net development

e Data and Learning Machine ,Intelligence Artificial of J, 2023

The. The worlds of. NET grows with many technologies. NET Framework,. NET Core, and. NET is consi... more The. The worlds of. NET grows with many technologies. NET Framework,. NET Core, and. NET is considered as the whole, mighty powerful platform to build anything from desktop software to cloud-based solutions. Yet, as these technologies grow increasingly sophisticated, developers face tremendous skill gaps and hurdles to adapt to evolving practices. In this paper, we examine the primary skill gaps and unserved markets. NET, including obsolete legacy codes, incorrect design patterns, incompetent cloud integration, security information, and microservices architecture. Blazor is also mentioned within the paper. Even native mobile apps with.NET MAUI could be used cross-platform, but they are only used that way at a fraction of their potential. We recommend systematically identifying these gaps by implementing focus training programs, certifications, and community learning to close and improve this loop. NET development outcomes. Filling in these gaps: When filling in such gaps, the developer productivity, software quality and leveraging of modern. NET technologies effectively.

Challenges in .NET Development and Potential Improvements

International Journal for Multidisciplinary Research, 2023

The .NET framework has become the most popular and efficient for developing web, desktop, and mob... more The .NET framework has become the most popular and efficient for developing web, desktop, and mobile
applications. However, as. Several challenges still necessitate solution development for the NET to
advance and facilitate the work of developers towards better results. These are critical subtopics that
appear in the context of microservices architecture, cross-platform development, and security concerns
specific to ASP.NET, along with integration of Continuous Integration/Continuous Deployment (CI/CD)
pipelines. This paper describes these challenges and possible enhancements to fix them. The IT Unit can
enhance microservices, cross-platform capabilities, security, and CI/CD with desired optimizations to
benefit the firm. In this manner, the NET ecosystem can offer better support to meet the demands of the
contemporary software development process.

Serverless Architectures and Function-as-a-Service (FaaS): Scalability, Cost Efficiency, and Security Challenges

International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences, 2023

Serverless computing and Function-as-a-Service (FaaS) have become the new “new hotness” in cloud ... more Serverless computing and Function-as-a-Service (FaaS) have become the new “new hotness” in cloud computing. Since FaaS completely abstracts away the infrastructure, developers are left with having to write only their app logic — a very cost-effective and scalable solution for modern workloads. This paper looks at the rise of serverless architectures through these key platforms. We get answers on the benefits of the scalability and elasticity models and cost implications compared with traditional server-based infrastructures. The case study demonstrates how the pay-per-execution model can prevent resource waste and some problems developers might face in implementing this way of working, such as cold-start latency and informal ecosystems. We further present three case studies on server less machine learning workloads, which show the practical benefits of server less computing.

Kubernetes for Multi-Cloud and Hybrid Cloud: Orchestration, Scaling, and Security Challenges

Journal of Scientific and Engineering Research, 2023

Kubernetes enables organizations to manage applications globally, from multi-cloud to hybrid clou... more Kubernetes enables organizations to manage applications globally, from multi-cloud to hybrid clouds. This paper presents challenges and solutions for workload orchestration, scaling, and security in such infrastructures. Running workloads across different cloud providers enables one to escape vendor lock-in and improve service availability. However, it leads to more complexity in terms of management and security. This paper will analyze the tendency of Kubernetes to orchestrate across multiple clouds in which it operates in a Multi-Cloud environment. It covers important solutions for scaling & managing cross-cloud workloads and securing applications in a multi-cloud or hybrid-cloud environment. Security discussions in the paper include managing identity and access across multiple cloud providers and supporting zero-trust security models. We then examine optimal Kubernetes operations across multi-cloud and hybrid cloud infrastructures, considering solutions like Cluster Federation, service mesh and encryption methods.

Comprehensive Approaches to API Security and Management in Large-Scale Microservices Environments

International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences, 2023

This paper provides a holistic perspective of security and governance in large microservices setu... more This paper provides a holistic perspective of security and governance in large microservices setups with a comprehensive view into securing your APIs. The growth of microservices architectures has made API security management critical for ensuring uptime, safeguarding sensitive data, and preventing security breaches. This study sheds light on the captive API management market, highlighting various service leverages such as traffic control, authentication, and authorization made possible by API gateways. We will also touch on rate-limiting best practices for protecting against denial-of-service (DoS) attacks and endeavours to stop people from abusing your API resources. This post demonstrated how to secure inter-service communication by applying mutual TLS (mTLS) and OAuth2 protocols to guarantee encrypted and authenticated data exchange between microservices. It concludes by examining challenges in striking the right performance-security balance in dynamic environments and a brief outlook on future API security strategies.

Observability in Microservices Architectures: Leveraging Logging, Metrics, and Distributed Tracing in Large-Scale Systems

European Journal of Advances in Engineering and Technology, 2023

Built upon microservices architecture (MSA) and thanks to its off-regions growth nature, it has b... more Built upon microservices architecture (MSA) and thanks to its off-regions growth nature, it has become a big rage for creating scalable distributed systems. However, managing these systems brings its own challenges, especially when it comes to monitoring and debugging performance. You could go a long way in growing and scaling a system without knowing internal states and interactions but having proper levels of observability (logging, metrics, distributed tracing) within microservices-based systems. The present paper also discusses the observability of microservices and how those services can ensure their system is in a stable condition by utilizing some tools such as Prometheus, Grafana, and Jaeger. This post discusses how these tools add value in monitoring system health and making operationally meaningful decisions in large-scale environments. This article explores key challenges like data overload and instrumentation complexity in achieving better observability with microservices architectures, followed by best practices to improve the same.

The role of cybersecurity in combating digital crime a technical perspective

Journal of Artificial Intelligence & Cloud Computing, 2024

Cybercrime refers to the crime perpetrated on digital platforms, and it has emerged as a growing ... more Cybercrime refers to the crime perpetrated on digital platforms, and it has emerged as a growing phenomenon in the contemporary world, affecting everyone, including individuals, business entities, and governments. This further means that as the scale and complexity of these threats rise, the need for effective cybersecurity mechanisms also rises. As pointed out in this paper, the technical aspect of cyber security deals with identifying, avoiding, and fighting against cybercrime. Covering tactical areas, including AI-based threat identification, big data analysis, infrastructure protection, cyber forensics, and legal regulation, this paper investigates how new technologies and approaches are used to counter cyber threats. Thus, based on the latest theoretical findings and practical advancements, the study will highlight the importance of cybersecurity for protecting the digital environment.

The future of net development

e Data and Learning Machine ,Intelligence Artificial of J, 2024

The. Since then, NET has become much more than just a Windows platform; it is now an open-sourced... more The. Since then, NET has become much more than just a Windows platform; it is now an open-sourced, cross-platform framework with many features. This paper studies the future of. NET and discuss exciting new trends like cloud-native, microservices, and cross-platform. Furthermore, we will discuss the imminent integration of AI and ML frameworks and modern language features in C#. It also shows developers' challenges in moving legacy NET applications into modern platforms and keeping performance, scalability and security on top of that when going cloud-native. The ongoing evolution of .NET positions is presented as a linchpin technology for innovating scalable and high-performing applications satisfying the modern demands of software development.

Ai driven threat detection in cybersecurity

e Data and Learning Machine ,Intelligence Artificial of J, 2024

With the increasing complexity, changing trend and high non-linearity of techniques in exploring ... more With the increasing complexity, changing trend and high non-linearity of techniques in exploring adversarial behaviors, Artificial Intelligence (AI) plays a significant role in current cybersecurity, which provides more advanced methodologies for discovering threat circumstances automatically, unlike static or semi-dynamic traditional intrusion detection systems. AI technologies like machine learning (ML) and deep learning (DL) can process large datasets in a few milliseconds and have emerged far stronger than traditional rule-based detection methods to detect new patterns or previously unseen threats, including zero-day attacks and advanced persistent threats. This paper uses the lead AI models used in threat detection (supervised learning supervised learning- and multiple approaches) to achieve better accuracy. AI-based systems have disrupted the cybersecurity landscape, but adversarial attacks, false positives, and data privacy remain challenges. This paper concludes that with in-depth insights into AI's current embodiments and shortcomings, future progress viz Explainable AI (XAI) and predictive models will likely define the cybersecurity landscape

Ais impact on traditional software development

Journal of Artificial Intelligence & Cloud Computing, 2024

The application of artificial intelligence (AI) has brought key shifts in conventional tactical s... more The application of artificial intelligence (AI) has brought key shifts in conventional tactical software development, including code generation, testing and debugging, and deployment. Waterfall and Agile development approaches, which have been used for a long time, also widely employ manual and well-planned steps. However, with the help of automated tools and models such as OpenAI Codex and GPT-4, many aspects of the Software Development Life Cycle (SDLC) have been made possible. This paper examines the technical aspect of integrating AI into prior traditional software development life cycle methodologies, emphasizing code automation, intelligent testing frameworks, AI-based debugging, and continuous integration and deployment pipelines. The analysis is also based on the advantages of utilizing AI for optimizations in efficiency, accuracy, and development speed alongside issues like over-dependence on AI, ethical questions, and technical constraints. Based on the case and example given in this paper, it is clearly shown that the self-improvement of AI in software development makes the process more dynamic, autonomous, and optimized

E-Classroom for an Underserved Institution

E-Classroom for an Underserved Institution

Challenges in NET Development and Potential Improvements

International Journal For Multidisciplinary Research E-ISSN: 2582-2160 • Impact Factor: 9.24, 2023

The .NET framework has become the most popular and efficient for developing web, desktop, and mob... more The .NET framework has become the most popular and efficient for developing web, desktop, and mobile applications. However, as. Several challenges still necessitate solution development for the NET to advance and facilitate the work of developers towards better results. These are critical subtopics that appear in the context of microservices architecture, cross-platform development, and security concerns specific to ASP.NET, along with integration of Continuous Integration/Continuous Deployment (CI/CD) pipelines. This paper describes these challenges and possible enhancements to fix them. The IT Unit can enhance microservices, crossplatform capabilities, security, and CI/CD with desired optimizations to benefit the firm. In this manner, the NET ecosystem can offer better support to meet the demands of the contemporary software development process.

Kubernetes: Advanced Deployment Strategies-*Technical Perspective

International Journal of Leading Research Publication, 2(4), 1-12, ISSN: 2582-8010, 2021., 2021

Container orchestration is a foundational element of Kubernetes, the pre-eminent container orches... more Container orchestration is a foundational element of Kubernetes, the pre-eminent container orchestration platform responsible for automating the deployment, number of processes, and scaling up and down containers. Advanced Deployment Strategies official Kubernetes Concepts Doc at Kubernetes.org This paper covers some advanced deployment strategies in Kubernetes like Blue-Green Deployment Rolling updates Auto-scaling mechanisms. It is necessary to keep high availability and spare resources in cloud environments. Besides, it comes with continuous service-delivering functionality, particularly in complex Environments. This paper offers an inclusive analysis of the existing research work, which illustrates that all such strategies are combined using Kubernetes to manage resources dynamically, automate micro-services deployment, and provide continuous operations across hybrid/multi-cloud infrastructures. The discussion is exclusively based on the related work from studies regarding Kubernetes deployment techniques and resource management, offering perspectives on difficulties in Kubernetes deployment practices and future directions to be enhanced

Blockchain in Day-to-Day Life: Transformative Applications and Implementation

International Journal For Multidisciplinary Research, 2021

Blockchain technology is a disruptive force in many industries, introducing transparency and secu... more Blockchain technology is a disruptive force in many industries, introducing transparency and security while improving the efficiency of daily processes. This paper discusses blockchain applications in logistics and supply chain, healthcare data management, IoT (Internet of Things), identity verification, government, etc.; for instance, blockchain's decentralised and immutable characteristics provide a solution to some of the most challenging concerns, including data privacy, fraud prevention, and operational inefficiency. The paper further discusses the fusion of blockchain with upcoming fields like artificial intelligence (AI) and IoT, which play more crucial roles in daily life. By deploying blockchain, businesses can optimise their processes without intermediaries and ensure that the data is safe and sound to bolster trust across digital chains. The research helps identify what blockchain is doing now and how the industry may touch all corners of modern life moving forward.

Machine Learning for Cybersecurity in Industrial Control Systems (ICS)

International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences, 2022

CS (Industrial Control Systems) are the backbone of power, water, and manufacturing, amongst othe... more CS (Industrial Control Systems) are the backbone of power, water, and manufacturing, amongst other critical infrastructure sectors. Like everything else, traditional ICS is evolving with the modern Information and Communication Technologies (ICT) getting integrated into its stack, exposing itself to potential cyber-attacks. Because of the real-time operational requirements and legacy technology, traditional security methods are frequently ineffective in protecting ICS. Machine Learning (ML) techniques are the major solution to improve Intrusion Detection Systems (IDS) or Intrusion Prevention Systems (IPS). This article is a survey paper in which we discussed the use of ML for cybersecurity, such as anomaly detection, integrations with crypto, and adversarial attacks within ICS. Through a discussion of the challenges and future directions around the deployment of ML models inside the ICS environment, this work aims to demonstrate how advanced technologies can help safeguard critical infrastructure against adaptive threats. More focus is given to enhancing the robustness and scalability of the ML models across device/ICS networks.

Cybersecurity in daytoday life

Journal of Mathematical & Computer Applications, 2022

Cybersecurity has become one of the most important elements of our daily lives, both for individu... more Cybersecurity has become one of the most important elements of our daily lives, both for individual and business purposes, as we are connected virtually more than ever. With threats of all kinds, from those targeting personal mobile devices to phishing attacks and ransomware, the importance of thorough cybersecurity practices cannot be overstated. In this paper, we provide hands-on practical insights into how one might apply cybersecurity practices to what is soon to be (if not already) everyday activities. The paper focuses on common cyber threats, such as phishing or ransomware, and includes practical technical solutions to reduce the risks resulting from these attacks. Multiple reports on this problem have been improved in the paper by proposing multifactor authentication, encryption protocols, permanent propagation patches, and user education as basic elements of a proactive cybersecurity strategy. Learning and applying these safety measures is critical in protecting personal details and preserving privacy in a world where people continually access digital technology daily.

Data science in public relations software development

Journal of Mathematical & Computer Applications, 2022

The integration of data science into public relations (PR) software development has revolutionize... more The integration of data science into public relations (PR) software development has revolutionized the field by providing PR professionals with advanced tools for analyzing, managing, and leveraging data to craft effective communication strategies. This paper investigates how data science enhances PR software tools, emphasizing areas such as advanced analytics, sentiment analysis, media monitoring, and campaign optimization. By employing sophisticated techniques from machine learning, natural language processing, and big data analytics, PR software now offers enhanced capabilities for understanding public sentiment, monitoring media coverage, and optimizing campaign performance. The paper outlines the benefits of these technological advancements, discusses the challenges and limitations faced during implementation, and explores future directions for the continued integration of data science in PR software development. The study underscores the transformative impact of data science on PR practices and highlights ongoing trends and potential future developments.

Cybersecurity in the Airline Industry: A Technical Perspective

International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences, 2022

Modern airline companies constantly rely on interconnected digital systems and networks; thus, th... more Modern airline companies constantly rely on interconnected digital systems and networks; thus, the industry is becoming more susceptible to cybersecurity risks. This paper aims to analyze methods to improve the industry’s cybersecurity by technical means with emphasis on the protection of infrastructure, data and applications. These are secure software development, endpoint protection, IDP, MFA, and encryption.Further, incorporating AI capabilities for real time threat detection and better security monitoring for new challenges in airline cybersecurity is also proposed

Web Development in the Next Generation Using AI and Data Science

European Journal of Advances in Engineering and Technology, 2022

The advancement in web development has posed new challenges and possibility with efficiency use o... more The advancement in web development has posed new challenges and possibility with efficiency use of Artificial Intelligence (AI) and Data Science. AI solution is redefining the World Wide Web by allowing it to be designed, optimised and secured while Data Science helps it to be foresighted, gaining a comprehensive understanding of the customer needs. In this paper, the author discusses the applicability of AI in automating Web development tasks, performance optimization through better caching systems, security through intelligent threat detection, and Web traffic through analytics. Furthermore, the paper reveals the further advancement of AI no-code/low-code base and some of the ethical concerns that relate to data privacy. Exploring the current state of progress and the possible directions for the development of AI and Data Science, this paper proves how these fields are going to influence the future of web development.

Skill gaps and underserved areas in net development

e Data and Learning Machine ,Intelligence Artificial of J, 2023

The. The worlds of. NET grows with many technologies. NET Framework,. NET Core, and. NET is consi... more The. The worlds of. NET grows with many technologies. NET Framework,. NET Core, and. NET is considered as the whole, mighty powerful platform to build anything from desktop software to cloud-based solutions. Yet, as these technologies grow increasingly sophisticated, developers face tremendous skill gaps and hurdles to adapt to evolving practices. In this paper, we examine the primary skill gaps and unserved markets. NET, including obsolete legacy codes, incorrect design patterns, incompetent cloud integration, security information, and microservices architecture. Blazor is also mentioned within the paper. Even native mobile apps with.NET MAUI could be used cross-platform, but they are only used that way at a fraction of their potential. We recommend systematically identifying these gaps by implementing focus training programs, certifications, and community learning to close and improve this loop. NET development outcomes. Filling in these gaps: When filling in such gaps, the developer productivity, software quality and leveraging of modern. NET technologies effectively.

Challenges in .NET Development and Potential Improvements

International Journal for Multidisciplinary Research, 2023

The .NET framework has become the most popular and efficient for developing web, desktop, and mob... more The .NET framework has become the most popular and efficient for developing web, desktop, and mobile
applications. However, as. Several challenges still necessitate solution development for the NET to
advance and facilitate the work of developers towards better results. These are critical subtopics that
appear in the context of microservices architecture, cross-platform development, and security concerns
specific to ASP.NET, along with integration of Continuous Integration/Continuous Deployment (CI/CD)
pipelines. This paper describes these challenges and possible enhancements to fix them. The IT Unit can
enhance microservices, cross-platform capabilities, security, and CI/CD with desired optimizations to
benefit the firm. In this manner, the NET ecosystem can offer better support to meet the demands of the
contemporary software development process.

Serverless Architectures and Function-as-a-Service (FaaS): Scalability, Cost Efficiency, and Security Challenges

International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences, 2023

Serverless computing and Function-as-a-Service (FaaS) have become the new “new hotness” in cloud ... more Serverless computing and Function-as-a-Service (FaaS) have become the new “new hotness” in cloud computing. Since FaaS completely abstracts away the infrastructure, developers are left with having to write only their app logic — a very cost-effective and scalable solution for modern workloads. This paper looks at the rise of serverless architectures through these key platforms. We get answers on the benefits of the scalability and elasticity models and cost implications compared with traditional server-based infrastructures. The case study demonstrates how the pay-per-execution model can prevent resource waste and some problems developers might face in implementing this way of working, such as cold-start latency and informal ecosystems. We further present three case studies on server less machine learning workloads, which show the practical benefits of server less computing.

Kubernetes for Multi-Cloud and Hybrid Cloud: Orchestration, Scaling, and Security Challenges

Journal of Scientific and Engineering Research, 2023

Kubernetes enables organizations to manage applications globally, from multi-cloud to hybrid clou... more Kubernetes enables organizations to manage applications globally, from multi-cloud to hybrid clouds. This paper presents challenges and solutions for workload orchestration, scaling, and security in such infrastructures. Running workloads across different cloud providers enables one to escape vendor lock-in and improve service availability. However, it leads to more complexity in terms of management and security. This paper will analyze the tendency of Kubernetes to orchestrate across multiple clouds in which it operates in a Multi-Cloud environment. It covers important solutions for scaling & managing cross-cloud workloads and securing applications in a multi-cloud or hybrid-cloud environment. Security discussions in the paper include managing identity and access across multiple cloud providers and supporting zero-trust security models. We then examine optimal Kubernetes operations across multi-cloud and hybrid cloud infrastructures, considering solutions like Cluster Federation, service mesh and encryption methods.

Comprehensive Approaches to API Security and Management in Large-Scale Microservices Environments

International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences, 2023

This paper provides a holistic perspective of security and governance in large microservices setu... more This paper provides a holistic perspective of security and governance in large microservices setups with a comprehensive view into securing your APIs. The growth of microservices architectures has made API security management critical for ensuring uptime, safeguarding sensitive data, and preventing security breaches. This study sheds light on the captive API management market, highlighting various service leverages such as traffic control, authentication, and authorization made possible by API gateways. We will also touch on rate-limiting best practices for protecting against denial-of-service (DoS) attacks and endeavours to stop people from abusing your API resources. This post demonstrated how to secure inter-service communication by applying mutual TLS (mTLS) and OAuth2 protocols to guarantee encrypted and authenticated data exchange between microservices. It concludes by examining challenges in striking the right performance-security balance in dynamic environments and a brief outlook on future API security strategies.

Observability in Microservices Architectures: Leveraging Logging, Metrics, and Distributed Tracing in Large-Scale Systems

European Journal of Advances in Engineering and Technology, 2023

Built upon microservices architecture (MSA) and thanks to its off-regions growth nature, it has b... more Built upon microservices architecture (MSA) and thanks to its off-regions growth nature, it has become a big rage for creating scalable distributed systems. However, managing these systems brings its own challenges, especially when it comes to monitoring and debugging performance. You could go a long way in growing and scaling a system without knowing internal states and interactions but having proper levels of observability (logging, metrics, distributed tracing) within microservices-based systems. The present paper also discusses the observability of microservices and how those services can ensure their system is in a stable condition by utilizing some tools such as Prometheus, Grafana, and Jaeger. This post discusses how these tools add value in monitoring system health and making operationally meaningful decisions in large-scale environments. This article explores key challenges like data overload and instrumentation complexity in achieving better observability with microservices architectures, followed by best practices to improve the same.

The role of cybersecurity in combating digital crime a technical perspective

Journal of Artificial Intelligence & Cloud Computing, 2024

Cybercrime refers to the crime perpetrated on digital platforms, and it has emerged as a growing ... more Cybercrime refers to the crime perpetrated on digital platforms, and it has emerged as a growing phenomenon in the contemporary world, affecting everyone, including individuals, business entities, and governments. This further means that as the scale and complexity of these threats rise, the need for effective cybersecurity mechanisms also rises. As pointed out in this paper, the technical aspect of cyber security deals with identifying, avoiding, and fighting against cybercrime. Covering tactical areas, including AI-based threat identification, big data analysis, infrastructure protection, cyber forensics, and legal regulation, this paper investigates how new technologies and approaches are used to counter cyber threats. Thus, based on the latest theoretical findings and practical advancements, the study will highlight the importance of cybersecurity for protecting the digital environment.

The future of net development

e Data and Learning Machine ,Intelligence Artificial of J, 2024

The. Since then, NET has become much more than just a Windows platform; it is now an open-sourced... more The. Since then, NET has become much more than just a Windows platform; it is now an open-sourced, cross-platform framework with many features. This paper studies the future of. NET and discuss exciting new trends like cloud-native, microservices, and cross-platform. Furthermore, we will discuss the imminent integration of AI and ML frameworks and modern language features in C#. It also shows developers' challenges in moving legacy NET applications into modern platforms and keeping performance, scalability and security on top of that when going cloud-native. The ongoing evolution of .NET positions is presented as a linchpin technology for innovating scalable and high-performing applications satisfying the modern demands of software development.

Ai driven threat detection in cybersecurity

e Data and Learning Machine ,Intelligence Artificial of J, 2024

With the increasing complexity, changing trend and high non-linearity of techniques in exploring ... more With the increasing complexity, changing trend and high non-linearity of techniques in exploring adversarial behaviors, Artificial Intelligence (AI) plays a significant role in current cybersecurity, which provides more advanced methodologies for discovering threat circumstances automatically, unlike static or semi-dynamic traditional intrusion detection systems. AI technologies like machine learning (ML) and deep learning (DL) can process large datasets in a few milliseconds and have emerged far stronger than traditional rule-based detection methods to detect new patterns or previously unseen threats, including zero-day attacks and advanced persistent threats. This paper uses the lead AI models used in threat detection (supervised learning supervised learning- and multiple approaches) to achieve better accuracy. AI-based systems have disrupted the cybersecurity landscape, but adversarial attacks, false positives, and data privacy remain challenges. This paper concludes that with in-depth insights into AI's current embodiments and shortcomings, future progress viz Explainable AI (XAI) and predictive models will likely define the cybersecurity landscape

Ais impact on traditional software development

Journal of Artificial Intelligence & Cloud Computing, 2024

The application of artificial intelligence (AI) has brought key shifts in conventional tactical s... more The application of artificial intelligence (AI) has brought key shifts in conventional tactical software development, including code generation, testing and debugging, and deployment. Waterfall and Agile development approaches, which have been used for a long time, also widely employ manual and well-planned steps. However, with the help of automated tools and models such as OpenAI Codex and GPT-4, many aspects of the Software Development Life Cycle (SDLC) have been made possible. This paper examines the technical aspect of integrating AI into prior traditional software development life cycle methodologies, emphasizing code automation, intelligent testing frameworks, AI-based debugging, and continuous integration and deployment pipelines. The analysis is also based on the advantages of utilizing AI for optimizations in efficiency, accuracy, and development speed alongside issues like over-dependence on AI, ethical questions, and technical constraints. Based on the case and example given in this paper, it is clearly shown that the self-improvement of AI in software development makes the process more dynamic, autonomous, and optimized