A social network is group of people, organization, computers, information, and knowledge processi... more A social network is group of people, organization, computers, information, and knowledge processing entities grouped together by set of ties for information flow in social network. Social network analysis is the process of analyzing patterns of social relationships between social entities. Social network analysis mainly evaluated mathematically and visually. In this paper a literature review of formal metrics for social structural representation is elaborated. Main goal is to impart basic knowledge for researchers who are following various paths of social network analysis.
Enhanced Data Sharing with Blockchain in Healthcare
Springer eBooks, Aug 2, 2019
With the age of modernization the technologies are built at rapid speed with highly advanced feat... more With the age of modernization the technologies are built at rapid speed with highly advanced features in it. Similar to this there are issues related to personal healthcare. In this paper we proposed blockchain technology to secure data of every individual and to have properscalable, reliable data records. Our system provides patient comprehensive, unassailable log of leaseback admittance to their medical related statistics. Our proposal of innovative health data sharing solution by usage of permissioned blockchain to provide security and concealment using network formation organization and boost the distinctiveness management by using the participation service provided and braced by blockchain. It preserves the top score, a proof of veracity and authentication to retrieve facts from the blockchain. It gives highly ascendable, trusted, liable and genuine data. It paybacks the future scope in IT and Investigation by supplying apposite and expedient data with veracity and interoperability.
Task scheduling is one of the main research topic in Cloud Computing. Task scheduling is done at ... more Task scheduling is one of the main research topic in Cloud Computing. Task scheduling is done at user level and system level. At user level, scheduling deals with the problems between service provider and customer whereas at system level, scheduling deals with resource management within datacenter. The objective of this study is to use the conventional scheduling concepts to merge them to provide solution for better and more efficient task scheduling which is beneficial to both user and service provider. The proposed scheduling approach in cloud employs a dynamically optimized cost-based task scheduling algorithm for making efficient mapping of tasks to available resources in cloud. It aims to combine cost based task scheduling beneficial to user and dynamically optimized resource allocation strategy beneficial to service provider. It also improves computation/communication ratio and utilization of available resources by grouping the user tasks before resource allocation.
A multi-perspective approach to technical presentation assessment
Background: Technical presentations are integral part of any engineering course. In Indian instit... more Background: Technical presentations are integral part of any engineering course. In Indian institutions offering engineering education, the number of students in a class is more than 70. Therefore for the paucity of time, very often these technical presentations are done by a group rather than an individual. Through these presentations, in addition to the technical expertise, many other important generic attributes like communication and team building also can be developed. However, conventionally these attributes of the technical presentation are rarely assessed either in a summative or formative sense. Purpose: The purpose of this experiment to find effectiveness of summative and formative assessment of the group presentations from multiple perspectives by different assessors; technical perspective by a technical expert, presentation perspective by a generic skills expert, and from the perspective of other students by using tools of peer assessment. Design/Method: Students are div...
In today's world the credit card fraud is the biggest issue and now there is need to comb... more In today's world the credit card fraud is the biggest issue and now there is need to combat against the credit card fraud. "credit card fraud is the process of cleaning dirty money, thereby making the source of funds no longer identifiable." On daily basis, the financial transactions are made on huge amount in global market and hence detecting credit card fraud activity is challenging task. As earlier (Anti-credit card fraud Suite) is introduced to detect the suspicious activities but it is applicable only on individual transaction not for other bank account transaction. To Overcomes issues of we propose Machine learning method using 'Structural Similarity', to identify common attributes and behavior with other bank account transaction. Detection of credit card fraud transaction from large volume dataset is difficult, so we propose case reduction methods to reduces the input dataset and then find pair of transaction with other bank account with common attributes and behavior.
The latest developments in Deep Learning based Machine Translation and Computer Vision based Obje... more The latest developments in Deep Learning based Machine Translation and Computer Vision based Object Detection have led to high accuracy Image Captioning models. Although these models are very accurate, they tend to rely on the use of expensive computational power making it difficult to use these models in real-time applications like processing the video streams in real time and extracting the information. In this paper, we carefully follow some of the heuristic strategies and core ideas of Image Captioning and its common methods and present our simple sequence to a sequence based implementation with a remarkable transformation and efficiency such as using beam search instead of greedy search that allows us to implement these on low-end hardware. The proposed system compares the results calculated using a variety of metrics with high-quality models and analyses the reasons behind the model trained on the MS-COCO dataset that are lacking due to trade-off between computation speed and ...
Internet of Things allows the interconnection of smart objects, such as mobile robots, wireless s... more Internet of Things allows the interconnection of smart objects, such as mobile robots, wireless sensors, etc., and of human beings, by using various communication protocols and by developing a dynamic multi-modal heterogeneous network. The Internet of Things is expected to be overpopulated by a very huge number of objects, with intensive interactions, heterogeneous communications and millions of services. Consequently, scalability issues will arise from the search of the right object that can provide the desired service. A new paradigm known as Social Internet of Things has been introduced and proposes the integration of social networking concepts into the Internet of Things. The underneath idea is that every object can look for the desired service using its friendships, in a distributed manner. The cluster between Internet of Things (IoT) and social networks (SNs) enables the connection of people to the ubiquitous computing universe.[1]
Graph Based Video Sequence Matching & BoF Method for Video Copy detection
In this paper we propose video copy detection method using Bag-of-Features and showing acyclic gr... more In this paper we propose video copy detection method using Bag-of-Features and showing acyclic graph of matching frames of videos. This include use of both local (line, texture, color) and global (Scale Invariant Feature Transform i.e. SIFT) features. This process includes dividing video into small frames using dual threshold method which eliminates the redundant frames and select unique key frames. After that from each key frame binary features are extracted which known as Bag of Features (BoF) which are get stored into the database in format of matrix. When any query video is being uploading, same features are extracted and compared with stored database to detect copied video. If video detected as copied then using Graph Based Sequence Matching Method, actual matched sequence between key frames is displayed in acyclic graph. Keywords—SIFT Features, CBCD, Bag of Features (BoF), Dual Threshold Method, Graph Based Sequence Matching. _________________________________________________**...
International Journal on Recent and Innovation Trends in Computing and Communication
The collection of nodes is termed as community in any network system that are tightly associated ... more The collection of nodes is termed as community in any network system that are tightly associated to the other nodes. In network investigation, identifying the community structure is crucial task, particularly for exposing connections between certain nodes. For community overlapping, network discovery, there are numerous methodologies described in the literature. Numerous scholars have recently focused on network embedding and feature learning techniques for node clustering. These techniques translate the network into a representation space with fewer dimensions. In this paper, a deep neural network-based model for learning graph representation and stacked auto-encoders are given a nonlinear embedding of the original graph to learn the model. In order to extract overlapping communities, an AEOCDSN algorithm is used. The efficiency of the suggested model is examined through experiments on real-world datasets of various sizes and accepted standards. The method outperforms various well-...
IJCRTI020027 International Journal of Creative Research Thoughts (IJCRT) www.ijcrt.org 127 ABSTRA... more IJCRTI020027 International Journal of Creative Research Thoughts (IJCRT) www.ijcrt.org 127 ABSTRACT Many people living in extreme poverty live in India. It is difficult for poor or low-income people to pay for their medication and health care. As a result, they live in various diseases and as a result the number of deaths increases daily. On the other hand, there are a number of people who are overdosing on drugs even after they have stopped taking medication. Here, we have set up a website for donating medicines to NGO’s. This program will help people to donate their unused medicines to NGO’s and NGO’s can distribute them to people who need them. This site will help reduce the cost of national health services by making better use of unused drugs and helping poor or low-income people to get better health care. The site was also assisted in assessing the availability of essential medicines for nearby NGO’s.
ARTICLE INFO The Phishing websites looks similar to the original one because of their appearances... more ARTICLE INFO The Phishing websites looks similar to the original one because of their appearances created by attacker or hacker and user can easily trapped into this by submitting their username and password into these fraud sites. In this research paper we developed a new algorithm called CSS algorithm. The CSS algorithm is used to detect URL phishing attacks and also it provides multilayered security to the fraud held on internet. The CSS algorithm can detect the CSS filename, CSS domain, CSS content of the file, URL of trusted site, The domain of the site, The title of the site. Finally we conclude through experiments that our CSS algorithm can effectively found URL Obfuscating phishing attacks.
Material and Methodology With increasing popularity of World Wide Web, large volumes of data such... more Material and Methodology With increasing popularity of World Wide Web, large volumes of data such as addresses of users or URLs
ARTICLE INFO The Phishing websites looks similar to the original one because of their appearances... more ARTICLE INFO The Phishing websites looks similar to the original one because of their appearances created by attacker or hacker and user can easily trapped into this by submitting their username and password into these fraud sites. In this research paper we developed a new algorithm called CSS algorithm. The CSS algorithm is used to detect URL phishing attacks and also it provides multilayered security to the fraud held on internet. The CSS algorithm can detect the CSS filename, CSS domain, CSS content of the file, URL of trusted site, The domain of the site, The title of the site. Fianlly we conclude through experiments that our CSS algorithm can effectively found URL Obfuscating phishing attacks.
Cloud is a new way to store large amount of data. In cloud computing, data owners host their data... more Cloud is a new way to store large amount of data. In cloud computing, data owners host their data on cloud servers and users can access the data from cloud servers. By data outsourcing, users can be relieved from the burden of local data storage and maintenance. But because of the large amount of data on the cloud it increases privacy challenges against data loss and hacking. For earlier it uses regenerating code while providing fault tolerance against data loss. But because of the fault tolerance the data owner need to always stay online to verify the user data. But challenges are providing integrity of the data. Public audit ability for cloud storage allows users to ask third party auditor (TPA) to check the integrity of the data. Here it analyzes various issues and challenges regarding the data privacy when the data is stored on the cloud. In the various papers it gives various techniques regarding privacy preserving public auditing using the key signature process of secured clou...
Enhanced Data Sharing with Blockchain in Healthcare
Lecture Notes in Electrical Engineering, 2019
With the age of modernization the technologies are built at rapid speed with highly advanced feat... more With the age of modernization the technologies are built at rapid speed with highly advanced features in it. Similar to this there are issues related to personal healthcare. In this paper we proposed blockchain technology to secure data of every individual and to have properscalable, reliable data records. Our system provides patient comprehensive, unassailable log of leaseback admittance to their medical related statistics. Our proposal of innovative health data sharing solution by usage of permissioned blockchain to provide security and concealment using network formation organization and boost the distinctiveness management by using the participation service provided and braced by blockchain. It preserves the top score, a proof of veracity and authentication to retrieve facts from the blockchain. It gives highly ascendable, trusted, liable and genuine data. It paybacks the future scope in IT and Investigation by supplying apposite and expedient data with veracity and interoperability.
Overlapping Community Detection using Lepso and W-CPM
2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2019
Ancient community detection, it's tougher to seek out overlapping communities complicated net... more Ancient community detection, it's tougher to seek out overlapping communities complicated networks, particularly once the multimedia system social networks however, actual covering group revelation with swarm intelligence oftentimes induce covering group structures with extreme tiny group. To review with the difficulty, during this paper, associate degree economical formula (LEPSO) is suggest for covering group finding that is predicated on line chart hypothesis, learning method improvement. Particularly, a separate PSO, together with associate degree cryptography theme with ordered neighbors and strategy of node change with ensemble bunch, is concocted for rising the improvement capability to go looking communities which are unseen in social networks. then, a postprocessing approach is provided for combining the finer-grained and imperfect covering communities. The contribution work is Weak Cliques Percolation Method (W-PCM) for overlapping community detection that may be a new live for distinguishing similitude between weak cliques, is additionally steered to ascertain whether or not the weak cliques can be combined into a community.
Secured Search Optimization using Dynamic Query Form
Modern real word databases such as scientific databases and web databases contains over hundred o... more Modern real word databases such as scientific databases and web databases contains over hundred or even thousands of relations and attributes. Traditional data mining technologies cannot work with large, unstructured and heterogeneous data. Query form is largely used interfaces for querying database. In various information management systems traditional query forms are used. These are designed and pre-defined by developer or DBA. But it is difficult to design set of static query forms to satisfy various ad-hoc database queries on those complex databases and extracting the useful information with this traditional query form from huge dataset is not possible. This paper describes the development and the implementation of a Secured Search Optimization using Dynamic Query Form in Intranet. This system take the query as the input from the user and then it uses the techniques like indexing and searching to get desired result. The failed queries can be resolved in less time due to the cont...
A social network is group of people, organization, computers, information, and knowledge processi... more A social network is group of people, organization, computers, information, and knowledge processing entities grouped together by set of ties for information flow in social network. Social network analysis is the process of analyzing patterns of social relationships between social entities. Social network analysis mainly evaluated mathematically and visually. In this paper a literature review of formal metrics for social structural representation is elaborated. Main goal is to impart basic knowledge for researchers who are following various paths of social network analysis.
Enhanced Data Sharing with Blockchain in Healthcare
Springer eBooks, Aug 2, 2019
With the age of modernization the technologies are built at rapid speed with highly advanced feat... more With the age of modernization the technologies are built at rapid speed with highly advanced features in it. Similar to this there are issues related to personal healthcare. In this paper we proposed blockchain technology to secure data of every individual and to have properscalable, reliable data records. Our system provides patient comprehensive, unassailable log of leaseback admittance to their medical related statistics. Our proposal of innovative health data sharing solution by usage of permissioned blockchain to provide security and concealment using network formation organization and boost the distinctiveness management by using the participation service provided and braced by blockchain. It preserves the top score, a proof of veracity and authentication to retrieve facts from the blockchain. It gives highly ascendable, trusted, liable and genuine data. It paybacks the future scope in IT and Investigation by supplying apposite and expedient data with veracity and interoperability.
Task scheduling is one of the main research topic in Cloud Computing. Task scheduling is done at ... more Task scheduling is one of the main research topic in Cloud Computing. Task scheduling is done at user level and system level. At user level, scheduling deals with the problems between service provider and customer whereas at system level, scheduling deals with resource management within datacenter. The objective of this study is to use the conventional scheduling concepts to merge them to provide solution for better and more efficient task scheduling which is beneficial to both user and service provider. The proposed scheduling approach in cloud employs a dynamically optimized cost-based task scheduling algorithm for making efficient mapping of tasks to available resources in cloud. It aims to combine cost based task scheduling beneficial to user and dynamically optimized resource allocation strategy beneficial to service provider. It also improves computation/communication ratio and utilization of available resources by grouping the user tasks before resource allocation.
A multi-perspective approach to technical presentation assessment
Background: Technical presentations are integral part of any engineering course. In Indian instit... more Background: Technical presentations are integral part of any engineering course. In Indian institutions offering engineering education, the number of students in a class is more than 70. Therefore for the paucity of time, very often these technical presentations are done by a group rather than an individual. Through these presentations, in addition to the technical expertise, many other important generic attributes like communication and team building also can be developed. However, conventionally these attributes of the technical presentation are rarely assessed either in a summative or formative sense. Purpose: The purpose of this experiment to find effectiveness of summative and formative assessment of the group presentations from multiple perspectives by different assessors; technical perspective by a technical expert, presentation perspective by a generic skills expert, and from the perspective of other students by using tools of peer assessment. Design/Method: Students are div...
In today's world the credit card fraud is the biggest issue and now there is need to comb... more In today's world the credit card fraud is the biggest issue and now there is need to combat against the credit card fraud. "credit card fraud is the process of cleaning dirty money, thereby making the source of funds no longer identifiable." On daily basis, the financial transactions are made on huge amount in global market and hence detecting credit card fraud activity is challenging task. As earlier (Anti-credit card fraud Suite) is introduced to detect the suspicious activities but it is applicable only on individual transaction not for other bank account transaction. To Overcomes issues of we propose Machine learning method using 'Structural Similarity', to identify common attributes and behavior with other bank account transaction. Detection of credit card fraud transaction from large volume dataset is difficult, so we propose case reduction methods to reduces the input dataset and then find pair of transaction with other bank account with common attributes and behavior.
The latest developments in Deep Learning based Machine Translation and Computer Vision based Obje... more The latest developments in Deep Learning based Machine Translation and Computer Vision based Object Detection have led to high accuracy Image Captioning models. Although these models are very accurate, they tend to rely on the use of expensive computational power making it difficult to use these models in real-time applications like processing the video streams in real time and extracting the information. In this paper, we carefully follow some of the heuristic strategies and core ideas of Image Captioning and its common methods and present our simple sequence to a sequence based implementation with a remarkable transformation and efficiency such as using beam search instead of greedy search that allows us to implement these on low-end hardware. The proposed system compares the results calculated using a variety of metrics with high-quality models and analyses the reasons behind the model trained on the MS-COCO dataset that are lacking due to trade-off between computation speed and ...
Internet of Things allows the interconnection of smart objects, such as mobile robots, wireless s... more Internet of Things allows the interconnection of smart objects, such as mobile robots, wireless sensors, etc., and of human beings, by using various communication protocols and by developing a dynamic multi-modal heterogeneous network. The Internet of Things is expected to be overpopulated by a very huge number of objects, with intensive interactions, heterogeneous communications and millions of services. Consequently, scalability issues will arise from the search of the right object that can provide the desired service. A new paradigm known as Social Internet of Things has been introduced and proposes the integration of social networking concepts into the Internet of Things. The underneath idea is that every object can look for the desired service using its friendships, in a distributed manner. The cluster between Internet of Things (IoT) and social networks (SNs) enables the connection of people to the ubiquitous computing universe.[1]
Graph Based Video Sequence Matching & BoF Method for Video Copy detection
In this paper we propose video copy detection method using Bag-of-Features and showing acyclic gr... more In this paper we propose video copy detection method using Bag-of-Features and showing acyclic graph of matching frames of videos. This include use of both local (line, texture, color) and global (Scale Invariant Feature Transform i.e. SIFT) features. This process includes dividing video into small frames using dual threshold method which eliminates the redundant frames and select unique key frames. After that from each key frame binary features are extracted which known as Bag of Features (BoF) which are get stored into the database in format of matrix. When any query video is being uploading, same features are extracted and compared with stored database to detect copied video. If video detected as copied then using Graph Based Sequence Matching Method, actual matched sequence between key frames is displayed in acyclic graph. Keywords—SIFT Features, CBCD, Bag of Features (BoF), Dual Threshold Method, Graph Based Sequence Matching. _________________________________________________**...
International Journal on Recent and Innovation Trends in Computing and Communication
The collection of nodes is termed as community in any network system that are tightly associated ... more The collection of nodes is termed as community in any network system that are tightly associated to the other nodes. In network investigation, identifying the community structure is crucial task, particularly for exposing connections between certain nodes. For community overlapping, network discovery, there are numerous methodologies described in the literature. Numerous scholars have recently focused on network embedding and feature learning techniques for node clustering. These techniques translate the network into a representation space with fewer dimensions. In this paper, a deep neural network-based model for learning graph representation and stacked auto-encoders are given a nonlinear embedding of the original graph to learn the model. In order to extract overlapping communities, an AEOCDSN algorithm is used. The efficiency of the suggested model is examined through experiments on real-world datasets of various sizes and accepted standards. The method outperforms various well-...
IJCRTI020027 International Journal of Creative Research Thoughts (IJCRT) www.ijcrt.org 127 ABSTRA... more IJCRTI020027 International Journal of Creative Research Thoughts (IJCRT) www.ijcrt.org 127 ABSTRACT Many people living in extreme poverty live in India. It is difficult for poor or low-income people to pay for their medication and health care. As a result, they live in various diseases and as a result the number of deaths increases daily. On the other hand, there are a number of people who are overdosing on drugs even after they have stopped taking medication. Here, we have set up a website for donating medicines to NGO’s. This program will help people to donate their unused medicines to NGO’s and NGO’s can distribute them to people who need them. This site will help reduce the cost of national health services by making better use of unused drugs and helping poor or low-income people to get better health care. The site was also assisted in assessing the availability of essential medicines for nearby NGO’s.
ARTICLE INFO The Phishing websites looks similar to the original one because of their appearances... more ARTICLE INFO The Phishing websites looks similar to the original one because of their appearances created by attacker or hacker and user can easily trapped into this by submitting their username and password into these fraud sites. In this research paper we developed a new algorithm called CSS algorithm. The CSS algorithm is used to detect URL phishing attacks and also it provides multilayered security to the fraud held on internet. The CSS algorithm can detect the CSS filename, CSS domain, CSS content of the file, URL of trusted site, The domain of the site, The title of the site. Finally we conclude through experiments that our CSS algorithm can effectively found URL Obfuscating phishing attacks.
Material and Methodology With increasing popularity of World Wide Web, large volumes of data such... more Material and Methodology With increasing popularity of World Wide Web, large volumes of data such as addresses of users or URLs
ARTICLE INFO The Phishing websites looks similar to the original one because of their appearances... more ARTICLE INFO The Phishing websites looks similar to the original one because of their appearances created by attacker or hacker and user can easily trapped into this by submitting their username and password into these fraud sites. In this research paper we developed a new algorithm called CSS algorithm. The CSS algorithm is used to detect URL phishing attacks and also it provides multilayered security to the fraud held on internet. The CSS algorithm can detect the CSS filename, CSS domain, CSS content of the file, URL of trusted site, The domain of the site, The title of the site. Fianlly we conclude through experiments that our CSS algorithm can effectively found URL Obfuscating phishing attacks.
Cloud is a new way to store large amount of data. In cloud computing, data owners host their data... more Cloud is a new way to store large amount of data. In cloud computing, data owners host their data on cloud servers and users can access the data from cloud servers. By data outsourcing, users can be relieved from the burden of local data storage and maintenance. But because of the large amount of data on the cloud it increases privacy challenges against data loss and hacking. For earlier it uses regenerating code while providing fault tolerance against data loss. But because of the fault tolerance the data owner need to always stay online to verify the user data. But challenges are providing integrity of the data. Public audit ability for cloud storage allows users to ask third party auditor (TPA) to check the integrity of the data. Here it analyzes various issues and challenges regarding the data privacy when the data is stored on the cloud. In the various papers it gives various techniques regarding privacy preserving public auditing using the key signature process of secured clou...
Enhanced Data Sharing with Blockchain in Healthcare
Lecture Notes in Electrical Engineering, 2019
With the age of modernization the technologies are built at rapid speed with highly advanced feat... more With the age of modernization the technologies are built at rapid speed with highly advanced features in it. Similar to this there are issues related to personal healthcare. In this paper we proposed blockchain technology to secure data of every individual and to have properscalable, reliable data records. Our system provides patient comprehensive, unassailable log of leaseback admittance to their medical related statistics. Our proposal of innovative health data sharing solution by usage of permissioned blockchain to provide security and concealment using network formation organization and boost the distinctiveness management by using the participation service provided and braced by blockchain. It preserves the top score, a proof of veracity and authentication to retrieve facts from the blockchain. It gives highly ascendable, trusted, liable and genuine data. It paybacks the future scope in IT and Investigation by supplying apposite and expedient data with veracity and interoperability.
Overlapping Community Detection using Lepso and W-CPM
2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2019
Ancient community detection, it's tougher to seek out overlapping communities complicated net... more Ancient community detection, it's tougher to seek out overlapping communities complicated networks, particularly once the multimedia system social networks however, actual covering group revelation with swarm intelligence oftentimes induce covering group structures with extreme tiny group. To review with the difficulty, during this paper, associate degree economical formula (LEPSO) is suggest for covering group finding that is predicated on line chart hypothesis, learning method improvement. Particularly, a separate PSO, together with associate degree cryptography theme with ordered neighbors and strategy of node change with ensemble bunch, is concocted for rising the improvement capability to go looking communities which are unseen in social networks. then, a postprocessing approach is provided for combining the finer-grained and imperfect covering communities. The contribution work is Weak Cliques Percolation Method (W-PCM) for overlapping community detection that may be a new live for distinguishing similitude between weak cliques, is additionally steered to ascertain whether or not the weak cliques can be combined into a community.
Secured Search Optimization using Dynamic Query Form
Modern real word databases such as scientific databases and web databases contains over hundred o... more Modern real word databases such as scientific databases and web databases contains over hundred or even thousands of relations and attributes. Traditional data mining technologies cannot work with large, unstructured and heterogeneous data. Query form is largely used interfaces for querying database. In various information management systems traditional query forms are used. These are designed and pre-defined by developer or DBA. But it is difficult to design set of static query forms to satisfy various ad-hoc database queries on those complex databases and extracting the useful information with this traditional query form from huge dataset is not possible. This paper describes the development and the implementation of a Secured Search Optimization using Dynamic Query Form in Intranet. This system take the query as the input from the user and then it uses the techniques like indexing and searching to get desired result. The failed queries can be resolved in less time due to the cont...
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