Authors:
Mohanad Dawoud
and
D. Turgay Altilar
Affiliation:
Istanbul Technical University, Turkey
Keyword(s):
Privacy, Data Retrieval, Anonymous Authentication, Cloud Computing, Homomorphic Encryption.
Related
Ontology
Subjects/Areas/Topics:
Big Data Cloud Services
;
Cloud Computing
;
Cloud Computing Enabling Technology
;
Platforms and Applications
;
Security, Privacy, and Compliance Management
;
Services Science
;
Services Security and Reliability
Abstract:
Recently, cloud computing became an essential part of most IT strategies. However, security and privacy
issues are still the two main concerns that limit the widespread use of cloud services since the data is stored in
unknown locations and retrieval of data (or part of it) may involve disclosure of sensitive data to unauthorized
parties. Many techniques have been proposed to handle this problem, which is known as Privacy-Preserving
Data Retrieval (PPDR). These techniques attempt to minimize the sensitive data that needs to be revealed.
However, revealing any data to an unauthorized party breaks the security and privacy concepts and also may
decrease the efficiency of the data retrieval. In this paper, different requirements are defined to satisfy a
high level of security and privacy in a PPDR system. Moreover, a technique that uses anonymous query
authentication and multi-server settings is proposed. The technique provides an efficient ranking-based data
retrieval by using weighted
Term Frequency-Inverse Document Frequency (TF-IDF) vectors. It also satisfies
all of the defined security requirements that were completely unsatisfied by the techniques reported in the
literature.
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