The Role of Context Awareness in Cloud Privacy, Security and Internet of Things
Journal of Web Applications and Cyber Security
In the rapidly evolving digital landscape, the proliferation of data-driven technologies has rais... more In the rapidly evolving digital landscape, the proliferation of data-driven technologies has raised significant concerns about consumer privacy. This paper delves into the intricate relationship between context awareness and consumer privacy, highlighting the challenges that emerge when attempting to safeguard personal information in a world where context plays a pivotal role. Through an in-depth analysis of the evolving data ecosystem, privacy regulations, and technological advancements, this paper sheds light on the complexities associated with contextual privacy. The interplay between consumer preferences, data sharing practices, and the contextual nuances of data usage creates a dynamic landscape where traditional privacy paradigms fall short. As consumers engage with various digital platforms and services, their personal data is captured and exploited in diverse contexts, necessitating a more nuanced and adaptive approach to privacy preservation. The paper identifies key challe...
In various cloud computing models, the data need to be protected and to access these data in secu... more In various cloud computing models, the data need to be protected and to access these data in secure manner is important. The cryptographic key which is used to secure these data using both in the encryption as well as in decryption it is mandatory to manage these keys to secure these keys by disclosing in public networks such as any wireless and cloud environment. Utilizing Ciphertext Policy Attribute-based Encryption (CP-ABE), which provides effective data governance and key management, for cloud data encryption. The work based on the combination of Cipher Text-Policy Attribute based Encryption and Proxy Re-Encryption is elaborated in the article (CP-ABE-PRE). The encrypted data should ideally be transformed such that it may be unlocked with new keys, without an intermediate decryption step that would allow the cloud provider to read the plaintext this process is known as data re-encryption. The computational and communication burden on users connecting to the cloud from resource c...
Software Development Life Cycle (SDLC) in Software Engineering – A Brief Review
Journal of Computer Science and System Software
The software development life cycle process is a crucial methodology that software developers use... more The software development life cycle process is a crucial methodology that software developers use to create high-quality software products. In the requirements-gathering phase, the software development team works with stakeholders to define the project's objectives, scope, and requirements. The design phase involves creating the software architecture, which outlines the software's structure, components, and interactions. In the testing phase, the software is tested to ensure that it meets the requirements and functions correctly. The SDLC process plays a critical role in creating software that meets user requirements, is of high quality, and can be maintained and updated over time. By following a systematic approach, software development teams can ensure that the software they create is reliable, secure, and efficient. Overall, the SDLC process is a comprehensive methodology that software developers use to create high-quality software products. Software Development Life Cycl...
Mechanism to Detect the Suspicious Activity in the Network using Random Forest Algorithm
Journal of Computer Networks and Virtualization
Due to new technology, cyberattacks and network-related assaults have dramatically grown. The Dis... more Due to new technology, cyberattacks and network-related assaults have dramatically grown. The Distributed Denial of Service (DDoS) attack, in which the hacker uses several dispersed resources against the targeted system, is one of the main risks in these attacks. As DDoS traffic looks just like regular traffic, it is difficult to identify DDoS attacks. We employ the machine learning technology known as the Random Forest Tree to identify the DDoS assault and categorize regular traffic from abnormal traffic. In this work, the dataset including all the properties of the incoming traffic is used to retrieve the incoming traffic. To create an appropriate model, the dataset is trained using the Random Forest technique. Each time the incoming traffic is given into this model as its input, it is then utilized to distinguish between the regular traffic and aberrant traffic.
Enhancing Handwritten Digit Recognition Through Convolutional Neural Networks: A Comprehensive Study
Journal of Computer Networks and Virtualization
The development of a handwritten digit recognition system is the main subject of the discussion. ... more The development of a handwritten digit recognition system is the main subject of the discussion. In particular, the Convolution Neural Network (CNN) technique is used in the proposed topic. The MNIST dataset is used to create the model. The “Modified National Institute of Standards and Technology dataset” has 60,000 grayscale photographs, which are tiny squares, comprises of hand-written single digits between digit Zero and digit Nine and each measuring 28 by 28. Placing a handwritten digit picture among any one of ten classes corresponding to integer values from digit Zero to digit Nine, inclusively is the assignment here. The system employs a camera to take photos made up of images produced by the MNIST test data set and samples supplied by other authors. It then continually processes the images and updates the output every 0.5 seconds. Accuracy for top-performing models is typically 99.
International Journal for Research in Applied Science and Engineering Technology
This design is proposed using temperature sensor for automation of meeting hall using Arduino, wi... more This design is proposed using temperature sensor for automation of meeting hall using Arduino, with Internet of Things (IoT) for homes. Now a day there are various requirements of common man. IoT is going to play essential role in application such as smart home, industry, smart cities, we are implementing smart module for controlling fan speed based on room temperature and also making turn on or off fan by using IR sensor is connected to Arduino.ESP8266 wi-fi shows the current status of project in blynk app.
With the widespread use of mobile phones and smartphone applications, protecting one’s privacy ha... more With the widespread use of mobile phones and smartphone applications, protecting one’s privacy has become a major concern. Because active defensive strategies and temporal connections between situations relevant to users are not taken into account, present privacy preservation systems for cell phones are often ineffective. This work defines secrecy maintenance issues similar to optimizing tasks, thereby verifying their accuracy and optimization capabilities through a hypothetical study. Many optimal issues arise while preserving one’s privacy and these optimal issues are to be addressed as linear programming issues. By addressing linear programming issues, an effective context-aware privacy-preserving algorithm (CAPP) was created that uses an active defence strategy to determine how to release a user’s current context to enhance the quality of service (QoS) regarding context-aware applications while maintaining secrecy. CAPP outperforms other standard methodologies in lengthy simula...
Enhanced cipher text-policy attribute-based encryption and serialization on media cloud data
International Journal of Pervasive Computing and Communications
Purpose There are various system techniques or models which are used for access control by perfor... more Purpose There are various system techniques or models which are used for access control by performing cryptographic operations and characterizing to provide an efficient cloud and in Internet of Things (IoT) access control. Particularly in cloud computing environment, there is a large-scale distribution of these traditional symmetric cryptographic techniques. These symmetric cryptographic techniques use the same key for encryption and decryption processes. However, during the execution of these phases, they are under the problems of key distribution and management. The purpose of this study is to provide efficient key management and key distribution in cloud computing environment. Design/methodology/approach This paper uses the Cipher text-Policy Attribute-Based Encryption (CP-ABE) technique with proper access control policy which is used to provide the data owner’s control and share the data through encryption process in Cloud and IoT environment. The data are shared with the the h...
Cloud computing is one of the key computing platform and technology for sharing resources that ma... more Cloud computing is one of the key computing platform and technology for sharing resources that may include infrastructure, software, applications, and business processes. Cloud computing incorporate within it data loss prevention, encryption, and authentication, as technologies aimed to support cloud environment. The main intention behind cloud computing is the work done on the client side that can be moved to some unseen cluster of resources over the internet. Context awareness is the process in which the system or system components gather information from its surroundings accordingly. It is responsible for collecting the data automatically and responds to the situation arising dynamically. The focus of this paper is on developing a Context Sensitive Privacy Provision Algorithm such that the encryption and decryption of the data can be done only at the user end but not at the server end so as to preserve context privacy of an individual.
International Journal of Engineering Applied Sciences and Technology
Agro-Help a Dynamic Web Application help farmers by providing various information related to farm... more Agro-Help a Dynamic Web Application help farmers by providing various information related to farming like updated market price of crops, modern equipment and Government schemes. The proposed system helps any individual new to the field of agriculture by helping them in selecting right crop as according to their region.
Face Recognition and Automatic Attendance Management System using Machine Learning Techniques
Journal of Computer Science Engineering and Software Testing
An automated attendance management system maintains a record of the attendance of a particular st... more An automated attendance management system maintains a record of the attendance of a particular student, whether he/she is present in the class. The most important element of the virtual platform for students is maintaining attendance in an educational institution. When done manually, it wastes a substantial amount of time and effort. Due to a lack of a reliable attendance mechanism, there were also numerous fraudulent attendances. The face is the most significant feature that distinguishes a person. As a result, the focus of this study is on an attendance system that uses a real time face identification method based on the frontal face recognition idea, as well as an efficient Haar cascade algorithm based on an open-source image processing framework as well as the Local Binary Pattern Histogram.
International Journal of Advanced Computer Science and Applications
With the widespread use of mobile phones and smartphone applications, protecting one's privacy ha... more With the widespread use of mobile phones and smartphone applications, protecting one's privacy has become a major concern. Because active defensive strategies and temporal connections between situations relevant to users are not taken into account, present privacy preservation systems for cell phones are often ineffective. This work defines secrecy maintenance issues similar to optimizing tasks, thereby verifying their accuracy and optimization capabilities through a hypothetical study. Many optimal issues arise while preserving one's privacy and these optimal issues are to be addressed as linear programming issues. By addressing linear programming issues, an effective context-aware privacy-preserving algorithm (CAPP) was created that uses an active defence strategy to determine how to release a user's current context to enhance the quality of service (QoS) regarding context-aware applications while maintaining secrecy. CAPP outperforms other standard methodologies in lengthy simulations of actual data. Additionally, the minimax learning algorithm (MLA) optimizes the policy users and improves the satisfaction threshold of the contextaware applications. Moreover, a cloud-based approach is introduced in the work to protect the user's privacy from third parties. The obtained performance measures are compared with existing approaches in terms of privacy policy breaches, context sensitivity, satisfaction threshold, adversary power, and convergence speed for online and offline attacks.
A Conceptual Hybrid Model for Privacy Preservation of Consumers in Cloud
Journal of Computer Based Parallel Programming
Privacy is one of the most popular technologies in the IT industry. A lot of data is collected fr... more Privacy is one of the most popular technologies in the IT industry. A lot of data is collected from users from various sources. The same IoT (Internet of Things) application raised concerns about privacy in IoT systems. Sensor data collects information about users' daily activities and makes life easier, but compromises privacy and security. Implementing privacy and security into applications is a huge challenge. This article presents common methods for maintaining privacy and protecting statistics in IoT applications. To this end, many encryption methods are analysed, and finally, a comparative analysis of personal information protection methods and their applications is presented.
<em>Today the forefront technology comes with suitably understandable statements of how it ... more <em>Today the forefront technology comes with suitably understandable statements of how it will impact and change everything. Chatbot are very powerful conversational interface tools to solve the user problems when provided with proper context. The growth of messaging platforms is creating a whole new space for organizations to interact with visitors. Through chatbots you can instantly connect and reply to a wide range of questions. Chatbots can be designed to respond instantly but also it makes comfortable and offering a good impression about a place. Chatbot provides immediate responses that simply not possible on website or on any other apps. If you are visiting to a museum and want to know at what time it closes, you are not going to install an app for it. Similarly, websites have information but you will be ending up with some strange menu to figure out where closing times are. The context (content) plays the very important role when trying to resolve a specific problem within a tightly defined context. The chatbot can make safe hypothesis, if the query provide by the user is general not specific. Development of chatbot is thus a dynamic process. Over the course of their interactions with users, the bots get smarter and allows the business to offer improved services and user experiences.</em>
International Journal of Engineering Applied Sciences and Technology, 2021
Anomaly detection system using Machine Learning helps to detect the anomalies like accidents etc.... more Anomaly detection system using Machine Learning helps to detect the anomalies like accidents etc. Detecting anomalies in videos is important but it is an unsolved problem. This system will automatically detect the anomaly by image analysis from the surveillance videos. This system is capable of tracking abnormal event in each frame and generates a notification of such event. The proposed K-means algorithm performs existing anomaly detection techniques, while being comparatively time efficient. The system just requires a dataset of video frames and is fed as input to the anomaly detecting module
International journal of engineering research and technology, 2018
Internet of Things (IoT) can support numerous applications and services in various domains, such ... more Internet of Things (IoT) can support numerous applications and services in various domains, such as smart cities and smart homes. IoT smart objects interact with other components e.g., proxies, mobile devices, and data collectors, for management, data sharing and other activities in the context of the provided service. Sensors integrated at different places in homes, offices, and even in clothes, equipment, and utilities are used to sense and monitor owners’ positions, movements, required signs, valuable usage, temperature and humidity levels of rooms, etc. Along with sensing and monitoring capabilities, sensors cooperate and communicate with themselves to deliver; share and process sensed information and help realtime decision making procedures through activate suitable alerts and actions. Often the Internet of Things (IoT) is considered as a single problem domain, with proposed solutions intended to be applied across a wide range of applications. However, the privacy and security ...
Agriculture monitoring system using Artificial Intelligence help farmers in automating their farm... more Agriculture monitoring system using Artificial Intelligence help farmers in automating their farming and also contribute in shifting to precise cultivation for betteryield in crop and improvement in its quality while using fewer available resources. This system helps farmers in selecting right crop based on market scenario, understanding climatic conditions due to strong climate changes, and understanding to certain extent which crop to be select based on the soil health, and also identify certain crop diseases. Keywords—Artificial Intelligence, agriculture, crop, climate INTRODUCTION Agriculture being a key sector of Indian economy deserves a very good technical support which can be rendered through Artificial Intelligence. Agricultural exports constitute more than ten percent of the country’s exports and come under fourth largest exported principal commodity category in our country.Resource intensive agricultural practices are still dominating in our country. Agriculture contribut...
The Role of Context Awareness in Cloud Privacy, Security and Internet of Things
Journal of Web Applications and Cyber Security
In the rapidly evolving digital landscape, the proliferation of data-driven technologies has rais... more In the rapidly evolving digital landscape, the proliferation of data-driven technologies has raised significant concerns about consumer privacy. This paper delves into the intricate relationship between context awareness and consumer privacy, highlighting the challenges that emerge when attempting to safeguard personal information in a world where context plays a pivotal role. Through an in-depth analysis of the evolving data ecosystem, privacy regulations, and technological advancements, this paper sheds light on the complexities associated with contextual privacy. The interplay between consumer preferences, data sharing practices, and the contextual nuances of data usage creates a dynamic landscape where traditional privacy paradigms fall short. As consumers engage with various digital platforms and services, their personal data is captured and exploited in diverse contexts, necessitating a more nuanced and adaptive approach to privacy preservation. The paper identifies key challe...
In various cloud computing models, the data need to be protected and to access these data in secu... more In various cloud computing models, the data need to be protected and to access these data in secure manner is important. The cryptographic key which is used to secure these data using both in the encryption as well as in decryption it is mandatory to manage these keys to secure these keys by disclosing in public networks such as any wireless and cloud environment. Utilizing Ciphertext Policy Attribute-based Encryption (CP-ABE), which provides effective data governance and key management, for cloud data encryption. The work based on the combination of Cipher Text-Policy Attribute based Encryption and Proxy Re-Encryption is elaborated in the article (CP-ABE-PRE). The encrypted data should ideally be transformed such that it may be unlocked with new keys, without an intermediate decryption step that would allow the cloud provider to read the plaintext this process is known as data re-encryption. The computational and communication burden on users connecting to the cloud from resource c...
Software Development Life Cycle (SDLC) in Software Engineering – A Brief Review
Journal of Computer Science and System Software
The software development life cycle process is a crucial methodology that software developers use... more The software development life cycle process is a crucial methodology that software developers use to create high-quality software products. In the requirements-gathering phase, the software development team works with stakeholders to define the project's objectives, scope, and requirements. The design phase involves creating the software architecture, which outlines the software's structure, components, and interactions. In the testing phase, the software is tested to ensure that it meets the requirements and functions correctly. The SDLC process plays a critical role in creating software that meets user requirements, is of high quality, and can be maintained and updated over time. By following a systematic approach, software development teams can ensure that the software they create is reliable, secure, and efficient. Overall, the SDLC process is a comprehensive methodology that software developers use to create high-quality software products. Software Development Life Cycl...
Mechanism to Detect the Suspicious Activity in the Network using Random Forest Algorithm
Journal of Computer Networks and Virtualization
Due to new technology, cyberattacks and network-related assaults have dramatically grown. The Dis... more Due to new technology, cyberattacks and network-related assaults have dramatically grown. The Distributed Denial of Service (DDoS) attack, in which the hacker uses several dispersed resources against the targeted system, is one of the main risks in these attacks. As DDoS traffic looks just like regular traffic, it is difficult to identify DDoS attacks. We employ the machine learning technology known as the Random Forest Tree to identify the DDoS assault and categorize regular traffic from abnormal traffic. In this work, the dataset including all the properties of the incoming traffic is used to retrieve the incoming traffic. To create an appropriate model, the dataset is trained using the Random Forest technique. Each time the incoming traffic is given into this model as its input, it is then utilized to distinguish between the regular traffic and aberrant traffic.
Enhancing Handwritten Digit Recognition Through Convolutional Neural Networks: A Comprehensive Study
Journal of Computer Networks and Virtualization
The development of a handwritten digit recognition system is the main subject of the discussion. ... more The development of a handwritten digit recognition system is the main subject of the discussion. In particular, the Convolution Neural Network (CNN) technique is used in the proposed topic. The MNIST dataset is used to create the model. The “Modified National Institute of Standards and Technology dataset” has 60,000 grayscale photographs, which are tiny squares, comprises of hand-written single digits between digit Zero and digit Nine and each measuring 28 by 28. Placing a handwritten digit picture among any one of ten classes corresponding to integer values from digit Zero to digit Nine, inclusively is the assignment here. The system employs a camera to take photos made up of images produced by the MNIST test data set and samples supplied by other authors. It then continually processes the images and updates the output every 0.5 seconds. Accuracy for top-performing models is typically 99.
International Journal for Research in Applied Science and Engineering Technology
This design is proposed using temperature sensor for automation of meeting hall using Arduino, wi... more This design is proposed using temperature sensor for automation of meeting hall using Arduino, with Internet of Things (IoT) for homes. Now a day there are various requirements of common man. IoT is going to play essential role in application such as smart home, industry, smart cities, we are implementing smart module for controlling fan speed based on room temperature and also making turn on or off fan by using IR sensor is connected to Arduino.ESP8266 wi-fi shows the current status of project in blynk app.
With the widespread use of mobile phones and smartphone applications, protecting one’s privacy ha... more With the widespread use of mobile phones and smartphone applications, protecting one’s privacy has become a major concern. Because active defensive strategies and temporal connections between situations relevant to users are not taken into account, present privacy preservation systems for cell phones are often ineffective. This work defines secrecy maintenance issues similar to optimizing tasks, thereby verifying their accuracy and optimization capabilities through a hypothetical study. Many optimal issues arise while preserving one’s privacy and these optimal issues are to be addressed as linear programming issues. By addressing linear programming issues, an effective context-aware privacy-preserving algorithm (CAPP) was created that uses an active defence strategy to determine how to release a user’s current context to enhance the quality of service (QoS) regarding context-aware applications while maintaining secrecy. CAPP outperforms other standard methodologies in lengthy simula...
Enhanced cipher text-policy attribute-based encryption and serialization on media cloud data
International Journal of Pervasive Computing and Communications
Purpose There are various system techniques or models which are used for access control by perfor... more Purpose There are various system techniques or models which are used for access control by performing cryptographic operations and characterizing to provide an efficient cloud and in Internet of Things (IoT) access control. Particularly in cloud computing environment, there is a large-scale distribution of these traditional symmetric cryptographic techniques. These symmetric cryptographic techniques use the same key for encryption and decryption processes. However, during the execution of these phases, they are under the problems of key distribution and management. The purpose of this study is to provide efficient key management and key distribution in cloud computing environment. Design/methodology/approach This paper uses the Cipher text-Policy Attribute-Based Encryption (CP-ABE) technique with proper access control policy which is used to provide the data owner’s control and share the data through encryption process in Cloud and IoT environment. The data are shared with the the h...
Cloud computing is one of the key computing platform and technology for sharing resources that ma... more Cloud computing is one of the key computing platform and technology for sharing resources that may include infrastructure, software, applications, and business processes. Cloud computing incorporate within it data loss prevention, encryption, and authentication, as technologies aimed to support cloud environment. The main intention behind cloud computing is the work done on the client side that can be moved to some unseen cluster of resources over the internet. Context awareness is the process in which the system or system components gather information from its surroundings accordingly. It is responsible for collecting the data automatically and responds to the situation arising dynamically. The focus of this paper is on developing a Context Sensitive Privacy Provision Algorithm such that the encryption and decryption of the data can be done only at the user end but not at the server end so as to preserve context privacy of an individual.
International Journal of Engineering Applied Sciences and Technology
Agro-Help a Dynamic Web Application help farmers by providing various information related to farm... more Agro-Help a Dynamic Web Application help farmers by providing various information related to farming like updated market price of crops, modern equipment and Government schemes. The proposed system helps any individual new to the field of agriculture by helping them in selecting right crop as according to their region.
Face Recognition and Automatic Attendance Management System using Machine Learning Techniques
Journal of Computer Science Engineering and Software Testing
An automated attendance management system maintains a record of the attendance of a particular st... more An automated attendance management system maintains a record of the attendance of a particular student, whether he/she is present in the class. The most important element of the virtual platform for students is maintaining attendance in an educational institution. When done manually, it wastes a substantial amount of time and effort. Due to a lack of a reliable attendance mechanism, there were also numerous fraudulent attendances. The face is the most significant feature that distinguishes a person. As a result, the focus of this study is on an attendance system that uses a real time face identification method based on the frontal face recognition idea, as well as an efficient Haar cascade algorithm based on an open-source image processing framework as well as the Local Binary Pattern Histogram.
International Journal of Advanced Computer Science and Applications
With the widespread use of mobile phones and smartphone applications, protecting one's privacy ha... more With the widespread use of mobile phones and smartphone applications, protecting one's privacy has become a major concern. Because active defensive strategies and temporal connections between situations relevant to users are not taken into account, present privacy preservation systems for cell phones are often ineffective. This work defines secrecy maintenance issues similar to optimizing tasks, thereby verifying their accuracy and optimization capabilities through a hypothetical study. Many optimal issues arise while preserving one's privacy and these optimal issues are to be addressed as linear programming issues. By addressing linear programming issues, an effective context-aware privacy-preserving algorithm (CAPP) was created that uses an active defence strategy to determine how to release a user's current context to enhance the quality of service (QoS) regarding context-aware applications while maintaining secrecy. CAPP outperforms other standard methodologies in lengthy simulations of actual data. Additionally, the minimax learning algorithm (MLA) optimizes the policy users and improves the satisfaction threshold of the contextaware applications. Moreover, a cloud-based approach is introduced in the work to protect the user's privacy from third parties. The obtained performance measures are compared with existing approaches in terms of privacy policy breaches, context sensitivity, satisfaction threshold, adversary power, and convergence speed for online and offline attacks.
A Conceptual Hybrid Model for Privacy Preservation of Consumers in Cloud
Journal of Computer Based Parallel Programming
Privacy is one of the most popular technologies in the IT industry. A lot of data is collected fr... more Privacy is one of the most popular technologies in the IT industry. A lot of data is collected from users from various sources. The same IoT (Internet of Things) application raised concerns about privacy in IoT systems. Sensor data collects information about users' daily activities and makes life easier, but compromises privacy and security. Implementing privacy and security into applications is a huge challenge. This article presents common methods for maintaining privacy and protecting statistics in IoT applications. To this end, many encryption methods are analysed, and finally, a comparative analysis of personal information protection methods and their applications is presented.
<em>Today the forefront technology comes with suitably understandable statements of how it ... more <em>Today the forefront technology comes with suitably understandable statements of how it will impact and change everything. Chatbot are very powerful conversational interface tools to solve the user problems when provided with proper context. The growth of messaging platforms is creating a whole new space for organizations to interact with visitors. Through chatbots you can instantly connect and reply to a wide range of questions. Chatbots can be designed to respond instantly but also it makes comfortable and offering a good impression about a place. Chatbot provides immediate responses that simply not possible on website or on any other apps. If you are visiting to a museum and want to know at what time it closes, you are not going to install an app for it. Similarly, websites have information but you will be ending up with some strange menu to figure out where closing times are. The context (content) plays the very important role when trying to resolve a specific problem within a tightly defined context. The chatbot can make safe hypothesis, if the query provide by the user is general not specific. Development of chatbot is thus a dynamic process. Over the course of their interactions with users, the bots get smarter and allows the business to offer improved services and user experiences.</em>
International Journal of Engineering Applied Sciences and Technology, 2021
Anomaly detection system using Machine Learning helps to detect the anomalies like accidents etc.... more Anomaly detection system using Machine Learning helps to detect the anomalies like accidents etc. Detecting anomalies in videos is important but it is an unsolved problem. This system will automatically detect the anomaly by image analysis from the surveillance videos. This system is capable of tracking abnormal event in each frame and generates a notification of such event. The proposed K-means algorithm performs existing anomaly detection techniques, while being comparatively time efficient. The system just requires a dataset of video frames and is fed as input to the anomaly detecting module
International journal of engineering research and technology, 2018
Internet of Things (IoT) can support numerous applications and services in various domains, such ... more Internet of Things (IoT) can support numerous applications and services in various domains, such as smart cities and smart homes. IoT smart objects interact with other components e.g., proxies, mobile devices, and data collectors, for management, data sharing and other activities in the context of the provided service. Sensors integrated at different places in homes, offices, and even in clothes, equipment, and utilities are used to sense and monitor owners’ positions, movements, required signs, valuable usage, temperature and humidity levels of rooms, etc. Along with sensing and monitoring capabilities, sensors cooperate and communicate with themselves to deliver; share and process sensed information and help realtime decision making procedures through activate suitable alerts and actions. Often the Internet of Things (IoT) is considered as a single problem domain, with proposed solutions intended to be applied across a wide range of applications. However, the privacy and security ...
Agriculture monitoring system using Artificial Intelligence help farmers in automating their farm... more Agriculture monitoring system using Artificial Intelligence help farmers in automating their farming and also contribute in shifting to precise cultivation for betteryield in crop and improvement in its quality while using fewer available resources. This system helps farmers in selecting right crop based on market scenario, understanding climatic conditions due to strong climate changes, and understanding to certain extent which crop to be select based on the soil health, and also identify certain crop diseases. Keywords—Artificial Intelligence, agriculture, crop, climate INTRODUCTION Agriculture being a key sector of Indian economy deserves a very good technical support which can be rendered through Artificial Intelligence. Agricultural exports constitute more than ten percent of the country’s exports and come under fourth largest exported principal commodity category in our country.Resource intensive agricultural practices are still dominating in our country. Agriculture contribut...
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Papers by Manoj Gadiyar