International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Double Blind Reviewed

ISSN: 2319-7064


Downloads: 109

Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014


A Survey of Advance Multi-Factor Authentication and Multi-Keyword Ranked Search for Encrypted Cloud Data

Snehal Rahul Patil | Shiwani Sthapak


Abstract: This paper proposes a novel biometrics-based Single Sign On user authentication scheme in Telematics system, in order to enable to protect user account privacy. The focus during this work is to develop a secure and versatile multi-factor authentication to telematic environments with key management. to supply security in the use of remote crypt logical functions, we propose an authentication service embedded associate degree exceedingly in a very} key management system asatrusty third party. the most characteristics of the planned model are: flexibility, ability, safety and quality. Enabling Associate in Nursing encrypted cloud data search service is of predominant importance. Considering the massive form of data users and documents inside the cloud, it's a necessity to allow multiple keywords inside the search request and are available documents inside the order of their connectedness to those keywords. connected works on searchable encoding specialise in single keyword search or man of science keyword search, and barely sort the search results. throughout this paper, for the 1st time, we've an inclination to stipulate and solve the tough disadvantage of privacy presering multi-keyword stratified search over encrypted cloud knowledge (MRSE). We establish a group of strict privacy wants for such a secure cloud data utilization system. Among varied multikeyword linguistics, during this paper, for the first time we've an inclination to stipulate and solve the matter of multi-keyword stratified search over encrypted cloud knowledge, and establish a variety of privacy wants. Among varied multi-keyword linguistics, we tend to elect the economical similarity live of ?coordinate matching?, i. e. , as many matches as accomplishable, to effectively capture the connectedness of outsourced documents to the question keywords, and use ?inner product similarity? to quantitatively decide such similarity live. For meeting the challenge of supporting multi-keyword linguistics while not privacy breaches, we've an inclination to propose a basic arrange of MRSE mistreatment secure complex quantity computation. Then we've an inclination to supply a pair of improved MRSE schemes to achieve varied tight privacy requirements in a pair of completely totally different threat models. Thorough analysis work privacy and efficiency guarantees of projected schemes is given, and experiments on the real-world dataset show our projected schemes introduce low overhead on every computation and communication. we tend to first propose a basic arrange for the MRSE supported secure complex quantity computation, thus provide 2 significantly improved MRSE schemes to achieve varied rigorous privacy wants in a pair of completely totally different threat models.


Keywords: Privacy Preservation, Multikey authentication, Biometric


Edition: Volume 3 Issue 12, December 2014,


Pages: 2469 - 2472


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How to Cite this Article?

Snehal Rahul Patil, Shiwani Sthapak, "A Survey of Advance Multi-Factor Authentication and Multi-Keyword Ranked Search for Encrypted Cloud Data", International Journal of Science and Research (IJSR), Volume 3 Issue 12, December 2014, pp. 2469-2472, https://www.ijsr.net/get_abstract.php?paper_id=SUB141035

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