International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,February 2018,

Topic : Efficient and Expressive Keyword Search over Encrypted Data in the Cloud

Authors:Balne Sridevi || Siddi Sravani

Abstract:In today’s world, there are many new challenges for the security of data and access control when users outsource sensitive data for sharing on third party server known as cloud servers, which are not within the same trusted domain as data owners. The existing technique used to maintain the confidentiality of personal medical record (PMR) against untrusted servers by disclosing data decryption keys only to authorized users. However, in doing so, these solutions inevitably introduce complexity in key management also burden on the data owner in data management well as in key management. The problem of simultaneously achieving security and data confidentiality and ingrainedness of access control still remains unresolved. This paper addresses this challenge 1) Key management, 2) Defining and enforcing access policies based on data attributes, and, 3) Keyword search over the encrypted data. PMR(patient medical record)system users need to deal with complicated key management problem to accomplish fine-grained access control when their PMRs are encrypted using symmetric key cryptography or asymmetric key cryptography.With our scheme multi-authority attribute based access control (MAABAC) we can reduce the key management complexity for owners and users. For this users are divided into the two domains; professional domain and personal domain. To achieve security of PMR, key management, user revocation and efficient keyword search exploiting KP-ABE, Multi-authority attribute based access control(MA-ABAC), and uniquely combining it with techniques of proxy re-encryption..

Keywords: Attribute based encryption, Cloud computing, Fine-grained access control, KP-ABE, MA-ABAC, User Revocation, Proxy Re-encryption.

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DOI: 01.1617/vol5/iss2/pid16490


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact : info@ijercse.com


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