NDLI: A robust scheme on proof of data retrievability in cloud

Content Provider	IEEE Xplore Digital Library
Author	Chauhan, N.S. Saxena, A.
Copyright Year	2014
Description	Author affiliation: Infosys Labs., Infosys Ltd., Hyderabad, India (Chauhan, N.S.; Saxena, A.)
Abstract	In the era of rampant adoption of information technology and social networking, data generation is rapidly outpacing data storage resources. Cloud computing has emerged as cost effective, flexible and scalable alternate to address issue of increasing resource requirements. Though the advantages offered by such services appear attractive, there are certain inherent challenges related to trust and data security. Ensuring data integrity and retrievability of data in cloud is one such challenge. Proof of retrievability (POR) concept tries to establish assurance for cloud customer regarding correctness and completeness of their data. In this paper, we evaluate an already existing POR scheme and propose a new crypto based scheme which helps in reducing the amount of computation and storage at cloud customer side while establishing POR. In our scheme client is not required to store any large set of data locally except a secret key which is required for encryption. Compare to previous scheme, we also avoid the necessity of encrypting entire data at client side, thereby saving client computational resources. The proposed scheme is relevant for large static data such as video files, audio files and social networking data etc.
Starting Page	665
Ending Page	671
File Size	1122126
Page Count	7
File Format	PDF
ISBN	9781479930784
e-ISBN	9781479930807
DOI	10.1109/ICACCI.2014.6968574
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-24
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Data integrity Memory Thin clients Complexity theory Encryption Proof of retrievability Servers Mobile computing
Content Type	Text
Resource Type	Article

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