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SUPPORTING PRIVACY PROTECTION IN PROFILE-BASED PERSONALIZED WEB SEARCH

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Personalized web search (PWS) is a general category of search techniques aiming at providing better search results, which are tailored for individual user needs. As the expense, user information has to be collected and analyzed to figure out the user intention behind the issued query. The solutions to PWS can generally be categorized into two […]

AGGREGATE FUNCTION AND BITMAP INDEX-BASED SET PREDICATES IN SQL FOR DYNAMICALLY FORMED GROUPS

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Data warehousing and OLAP applications becoming more sophisticated, there is a high demand of querying data with the semantics of set-level comparisons. The proposed concise syntax of set predicates enables direct expression of set-level comparisons in SQL, which not only makes query formulation simple but also facilitates efficient support of such queries. In data warehousing […]

CP-ABE BASED SECURE DATA RETRIEVAL SCHEME FOR DECENTRALIZED DISRUPTION-TOLERANT MILITARY NETWORKS

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Ciphertext-policy attribute-based encryption (CP-ABE) is a promising cryptographic solution to the access control issues. Ciphertext-policy ABE provides a scalable way of encrypting data such that the encryptor defines the attribute set that the decryptor needs to possess in order to de-crypt the ciphertext. Thus, different users are allowed to decrypt different pieces of data per […]

DIFFERENTIALLY PRIVATE DATA RELEASE FOR VERTICALLY PARTITIONED DATA BETWEEN TWO PARTIES

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In this abstract, we present an algorithm for differentially private data release for vertically partitioned data between two parties. Additionally, the proposed algorithm satisfies the security definition of the semi honest adversary model. In this model, parties follow the algorithm but may try to deduce additional information from the received messages. Therefore, at any time […]

CP-ABE BASED SECURE DATA RETRIEVAL SCHEME FOR DECENTRALIZED DISRUPTION-TOLERANT MILITARY NETWORKS

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Ciphertext-policy attribute-based encryption (CP-ABE) is a promising cryptographic solution to the access control issues. Ciphertext-policy ABE provides a scalable way of encrypting data such that the encryptor defines the attribute set that the decryptor needs to possess in order to de-crypt the ciphertext. Thus, different users are allowed to decrypt different pieces of data per […]

BACK-PROPAGATION NEURAL NETWORK LEARNING ALGORITHM FOR PRIVACY PRESERVING IN CLOUD COMPUTING

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Back -Propagation is an effective method for learning neural networks and has been widely used in various applications. The accuracy of the learning result, despite other facts, is highly affected by the volume of high-quality data used for learning. As compared to learning with only local data set, collaborative learning improves the learning accuracy by […]

DECENTRALIZED DISRUPTION-TOLERANT MILITARY NETWORKS WITH SECURE DATA RETRIEVAL SCHEME USING CP-ABE

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Disruption-tolerant network (DTN) technologies are becoming successful solutions that allow nodes to communicate with each other in these extreme networking environments. Typically, when there is no end-to-end connection between a source and a destination pair, the messages from the source node may need to wait in the intermediate nodes for a substantial amount of time […]

WIRELESS AD HOC NETWORKS WITH A NOVEL NCAC-MAC PROTOCOL

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Network coding is an interesting technique which can provide throughput improvements and a high degree of robustness in packet networks. Network coding is a networking technique in which transmitted data is encoded and decoded to increase network throughput, reduce delays and make the network more robust. Cooperative communication, which utilizes neighboring nodes to relay the […]

BPN LEARNING MADE PRACTICAL WITH CLOUD COMPUTING FOR PRIVACY PRESERVING

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To protect each participant’s private data set and intermediate results generated during the BPN network learning process, it requires secure computation of various operations, for example, addition, scalar product, and the nonlinear sigmoid function, which are needed by the BPN network algorithm; Back -Propagation is an effective method for learning neural networks and has been […]

SYSTEMATIC AND PRACTICAL PERFORMANCE ANALYSIS FRAMEWORK USING MODELING OF DFS

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Distributed File System (DFS) is a set of client and server services that allow an organization using Microsoft Windows servers to organize many distributed SMB file shares into a distributed file system. DFS provides location transparency and redundancy to improve data availability in the face of failure or heavy load by allowing shares in multiple […]