As a result, there is now a need to fight back against credit card fraud in the world today. 'Cre... more As a result, there is now a need to fight back against credit card fraud in the world today. 'Credit card fraud is when dirty money is cleaned up, so the source of the funds can't be found. ' Financial transactions happen all over the world every day, so it's hard to find credit card fraud /back in the global market. In the same way that (Anti-credit card fraud Suite) was introduced earlier, it can only be used for one transaction at a time, and not for other bank account transactions. To solve problems, we propose a machine learning method called "Structural Similarity. " This method uses "Structural Similarity" 2to look for common attributes and behaviour in bank account transactions. This is hard to do with a large dataset, so we came up with ways to cut down the data and look for pairs of transactions with other bank accounts that have similar attributes and behaviour.
With increasing popularity of World Wide Web, large volumes of data such as addresses of users or... more With increasing popularity of World Wide Web, large volumes of data such as addresses of users or URLs
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...
Personalized web searching is a capable to improve searching excellence by modifying searching re... more Personalized web searching is a capable to improve searching excellence by modifying searching results for people with data. Users are always uncomfortable with revealing private data to searching engines. Privacy is not compromised if there is an improvement in service to the user. So the balance must be hit between quality and protection. Our work is scalable way for the users to automatically form rich profiles. Such profiles summarize user’s interests in an organization rendering to specific interests. There are parameters which are specifying requirements for privacy are proposed to service user to select the content. We are going to present SHA algorithm and Greedy algorithm for creating Generalized Profile. We are also going to provide an online forecast mechanism so that we can decide whether a query is useful. Wide experiments prove the efficiency of framework.
Traditional data mining technologies cannot work with huge, heterogeneous, unstructured data. Mod... more Traditional data mining technologies cannot work with huge, heterogeneous, unstructured data. Modern web database as well as scientific database maintains tremendous and heterogeneous data. These real word databases may contain hundreds or even thousands of relations and attributes. Query form is one of the most widely used interfaces for querying database. Traditional query forms are designed and pre-defined by developer or DBA in various information management systems. But extracting the useful information with this traditional query form from large dataset and streams of the data is not possible and it is difficult to design set of static query forms to satisfy numerous ad- hoc database queries on those complex databases. In this paper, we propose a Search optimization using dynamic query form system SODQF. SODQF is a query interface which is able to dynamically generating query forms for user. Unlike to tradition document retrieval, users in database retrieval are often willing ...
Cloud computing is based on the concepts of distributed computing, grid computing, utility comput... more Cloud computing is based on the concepts of distributed computing, grid computing, utility computing and virtualization. It is a virtual pool of resources which are provided to users via Internet. It gives users virtually unlimited pay-per-use computing resources without the burden of managing the underlying infrastructure. Cloud computing service providers' one of the goals is to use the resources efficiently and gain maximum profit. This leads to task scheduling as a core and challenging issue in cloud computing. This paper gives different scheduling strategies and algorithms in cloud computing.
QoS-based Web service recommendation has recently gained much attention for providing a promising... more QoS-based Web service recommendation has recently gained much attention for providing a promising way to help users find high-quality services. Collaborative filtering is an important method for predicting missing values, and has thus been widely adopted in the prediction of unknown QoS values.However, collaborative filtering originated from the processing of subjective data, such as movie scores. The QoS data of Web services are usually objective, meaning that existing collaborative filtering-based approaches are not always applicable for unknown QoS values. Based on real world Web service QoS data and a number of experiments, in this paper, we determine some important characteristics of objective QoS datasets that have never been found before. We propose a prediction algorithm to realize these characteristics, allowing the unknown QoS values to be predicted accurately. Experimental results show that the proposed algorithm predicts unknown Web service QoS values more accurately tha...
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]
A Survey of Web Service Recommendation Techniques based on QoS values
Web service recommendation has become a hot yet fundamental research topic in service computing. ... more Web service recommendation has become a hot yet fundamental research topic in service computing. The most popular technique is the Collaborative Filtering (CF) based on a QoS values. With increasing presence and adoption of Web services on the World Wide Web, Quality-of-Service (QoS) is becoming important for describing nonfunctional characteristics of Web services. Several approaches to web service selection and recommendation via collaborative filtering have been studied, so here we are going to do survey of these techniques with pros and cons of techniques. Also based on these reviews we are going to propose a new technique to predict web service selection based on known and unknown QoS values which we explain in our future work.
Passwords play a big task in computer security to validate human users. Most of the online based ... more Passwords play a big task in computer security to validate human users. Most of the online based application provides info regarding authentication system which includes character set passwords as well as graphical passwords. Graphical password plays a crucial role for user in security purpose of view. The existing system affords security for authentication in cloud by exploitation graphical passwords that has restriction as username in text format. The projected system provides higher authentication by process the username or user id exploitation PCCP (Pervasive Cued Click Point) technique. This click based technique needs sha1 and discretize centralization algorithm for higher performance. The password is processed exploitation CaRP (Captcha as gRaphical Password) technique. CaRP saves from attacks like online approximation attacks relay attacks, shoulder aquatics attacks, online wordbook attacks, human approximation attacks etc. This new security primitive relies on exhausting Ar...
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. General Terms Social networks (SN), formal measures, centrality, betweeness, degree, density, structural equivalence and structural holes.
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.
Discovery of Infrequent Weighted Itemset with High Utility
Knowledge discovery has been an interesting area of research due to its various applications. Tra... more Knowledge discovery has been an interesting area of research due to its various applications. Traditionally, frequent pattern mining plays an important role. Generally, infrequent items within the dataset are ignored. Infrequent Itemset mining is a variation of frequent itemset mining where rarely occurring patterns are discovered. This paper tackles the issue of discovering rare and weighted itemsets, i.e., the infrequent weighted itemset (IWI) mining problem. Also high utility itemsets are discovered using UP Growth algorithm. Proposed system not only considers the frequency of the itemsets but also considers the utility associated with the itemsets. Keywords—Data Mining, Frequent Itemset Mining, Infrequent Itemset Mining, Utility Mining, knowledge discovery
Journal of emerging technologies and innovative research, 2020
The food industry is a complex, global collective of diverse that supplies most of the food consu... more The food industry is a complex, global collective of diverse that supplies most of the food consumed by the world’s population. A Real-time online food ordering system for the customer is our proposed system. It overcomes the disadvantages of the traditional queueing system. Food can be ordered online in a hassle-free manner through our proposed system from restaurants. Also, the proposed system can recommend hotels, food, based on the ratings given by the customer, according to that the hotel staff will be informed for the improvements along with the quality. The payment for orders can be made online or pay-on-delivery as per customer choice. For security purpose we maintain separate accounts for each user by providing them an ID and a password. General Terms: Internet, Cloud Computing.
In large scale network, shortest distance query is a primary operation. In literature there isa n... more In large scale network, shortest distance query is a primary operation. In literature there isa number of existingsystems presented that take a landmark embedding approach. These systems select a set of graph nodes as landmarks. Then itcomputes the shortest distances from each landmark to all nodes as an embedding. All the existing methods follow the triangulation based distance estimationthatcalculates approximately the shortest distance among a pair of query nodes as the sum of their distances to a landmark. The landmark set gives a lone global view for all possible queries that could be diameter apart or close by because the landmark selection stage is query independent. Hence it is difficult to accomplishconsistently good performance on all queries as well as the landmark embedding approach may introduce a large relative error. Recently new method presented which is called as a querydependent Local Landmark Scheme (LLS), which identifies a local landmark specific to a pair of qu...
International Journal of Science and Research (IJSR), 2015
Cloud computing is one among the most recent growing area in the field of IT industry also called... more Cloud computing is one among the most recent growing area in the field of IT industry also called on-demand computing.
As a result, there is now a need to fight back against credit card fraud in the world today. 'Cre... more As a result, there is now a need to fight back against credit card fraud in the world today. 'Credit card fraud is when dirty money is cleaned up, so the source of the funds can't be found. ' Financial transactions happen all over the world every day, so it's hard to find credit card fraud /back in the global market. In the same way that (Anti-credit card fraud Suite) was introduced earlier, it can only be used for one transaction at a time, and not for other bank account transactions. To solve problems, we propose a machine learning method called "Structural Similarity. " This method uses "Structural Similarity" 2to look for common attributes and behaviour in bank account transactions. This is hard to do with a large dataset, so we came up with ways to cut down the data and look for pairs of transactions with other bank accounts that have similar attributes and behaviour.
With increasing popularity of World Wide Web, large volumes of data such as addresses of users or... more With increasing popularity of World Wide Web, large volumes of data such as addresses of users or URLs
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...
Personalized web searching is a capable to improve searching excellence by modifying searching re... more Personalized web searching is a capable to improve searching excellence by modifying searching results for people with data. Users are always uncomfortable with revealing private data to searching engines. Privacy is not compromised if there is an improvement in service to the user. So the balance must be hit between quality and protection. Our work is scalable way for the users to automatically form rich profiles. Such profiles summarize user’s interests in an organization rendering to specific interests. There are parameters which are specifying requirements for privacy are proposed to service user to select the content. We are going to present SHA algorithm and Greedy algorithm for creating Generalized Profile. We are also going to provide an online forecast mechanism so that we can decide whether a query is useful. Wide experiments prove the efficiency of framework.
Traditional data mining technologies cannot work with huge, heterogeneous, unstructured data. Mod... more Traditional data mining technologies cannot work with huge, heterogeneous, unstructured data. Modern web database as well as scientific database maintains tremendous and heterogeneous data. These real word databases may contain hundreds or even thousands of relations and attributes. Query form is one of the most widely used interfaces for querying database. Traditional query forms are designed and pre-defined by developer or DBA in various information management systems. But extracting the useful information with this traditional query form from large dataset and streams of the data is not possible and it is difficult to design set of static query forms to satisfy numerous ad- hoc database queries on those complex databases. In this paper, we propose a Search optimization using dynamic query form system SODQF. SODQF is a query interface which is able to dynamically generating query forms for user. Unlike to tradition document retrieval, users in database retrieval are often willing ...
Cloud computing is based on the concepts of distributed computing, grid computing, utility comput... more Cloud computing is based on the concepts of distributed computing, grid computing, utility computing and virtualization. It is a virtual pool of resources which are provided to users via Internet. It gives users virtually unlimited pay-per-use computing resources without the burden of managing the underlying infrastructure. Cloud computing service providers' one of the goals is to use the resources efficiently and gain maximum profit. This leads to task scheduling as a core and challenging issue in cloud computing. This paper gives different scheduling strategies and algorithms in cloud computing.
QoS-based Web service recommendation has recently gained much attention for providing a promising... more QoS-based Web service recommendation has recently gained much attention for providing a promising way to help users find high-quality services. Collaborative filtering is an important method for predicting missing values, and has thus been widely adopted in the prediction of unknown QoS values.However, collaborative filtering originated from the processing of subjective data, such as movie scores. The QoS data of Web services are usually objective, meaning that existing collaborative filtering-based approaches are not always applicable for unknown QoS values. Based on real world Web service QoS data and a number of experiments, in this paper, we determine some important characteristics of objective QoS datasets that have never been found before. We propose a prediction algorithm to realize these characteristics, allowing the unknown QoS values to be predicted accurately. Experimental results show that the proposed algorithm predicts unknown Web service QoS values more accurately tha...
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]
A Survey of Web Service Recommendation Techniques based on QoS values
Web service recommendation has become a hot yet fundamental research topic in service computing. ... more Web service recommendation has become a hot yet fundamental research topic in service computing. The most popular technique is the Collaborative Filtering (CF) based on a QoS values. With increasing presence and adoption of Web services on the World Wide Web, Quality-of-Service (QoS) is becoming important for describing nonfunctional characteristics of Web services. Several approaches to web service selection and recommendation via collaborative filtering have been studied, so here we are going to do survey of these techniques with pros and cons of techniques. Also based on these reviews we are going to propose a new technique to predict web service selection based on known and unknown QoS values which we explain in our future work.
Passwords play a big task in computer security to validate human users. Most of the online based ... more Passwords play a big task in computer security to validate human users. Most of the online based application provides info regarding authentication system which includes character set passwords as well as graphical passwords. Graphical password plays a crucial role for user in security purpose of view. The existing system affords security for authentication in cloud by exploitation graphical passwords that has restriction as username in text format. The projected system provides higher authentication by process the username or user id exploitation PCCP (Pervasive Cued Click Point) technique. This click based technique needs sha1 and discretize centralization algorithm for higher performance. The password is processed exploitation CaRP (Captcha as gRaphical Password) technique. CaRP saves from attacks like online approximation attacks relay attacks, shoulder aquatics attacks, online wordbook attacks, human approximation attacks etc. This new security primitive relies on exhausting Ar...
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. General Terms Social networks (SN), formal measures, centrality, betweeness, degree, density, structural equivalence and structural holes.
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.
Discovery of Infrequent Weighted Itemset with High Utility
Knowledge discovery has been an interesting area of research due to its various applications. Tra... more Knowledge discovery has been an interesting area of research due to its various applications. Traditionally, frequent pattern mining plays an important role. Generally, infrequent items within the dataset are ignored. Infrequent Itemset mining is a variation of frequent itemset mining where rarely occurring patterns are discovered. This paper tackles the issue of discovering rare and weighted itemsets, i.e., the infrequent weighted itemset (IWI) mining problem. Also high utility itemsets are discovered using UP Growth algorithm. Proposed system not only considers the frequency of the itemsets but also considers the utility associated with the itemsets. Keywords—Data Mining, Frequent Itemset Mining, Infrequent Itemset Mining, Utility Mining, knowledge discovery
Journal of emerging technologies and innovative research, 2020
The food industry is a complex, global collective of diverse that supplies most of the food consu... more The food industry is a complex, global collective of diverse that supplies most of the food consumed by the world’s population. A Real-time online food ordering system for the customer is our proposed system. It overcomes the disadvantages of the traditional queueing system. Food can be ordered online in a hassle-free manner through our proposed system from restaurants. Also, the proposed system can recommend hotels, food, based on the ratings given by the customer, according to that the hotel staff will be informed for the improvements along with the quality. The payment for orders can be made online or pay-on-delivery as per customer choice. For security purpose we maintain separate accounts for each user by providing them an ID and a password. General Terms: Internet, Cloud Computing.
In large scale network, shortest distance query is a primary operation. In literature there isa n... more In large scale network, shortest distance query is a primary operation. In literature there isa number of existingsystems presented that take a landmark embedding approach. These systems select a set of graph nodes as landmarks. Then itcomputes the shortest distances from each landmark to all nodes as an embedding. All the existing methods follow the triangulation based distance estimationthatcalculates approximately the shortest distance among a pair of query nodes as the sum of their distances to a landmark. The landmark set gives a lone global view for all possible queries that could be diameter apart or close by because the landmark selection stage is query independent. Hence it is difficult to accomplishconsistently good performance on all queries as well as the landmark embedding approach may introduce a large relative error. Recently new method presented which is called as a querydependent Local Landmark Scheme (LLS), which identifies a local landmark specific to a pair of qu...
International Journal of Science and Research (IJSR), 2015
Cloud computing is one among the most recent growing area in the field of IT industry also called... more Cloud computing is one among the most recent growing area in the field of IT industry also called on-demand computing.
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Papers by Mansi Bhonsle