NDLI: Space-Efficient Bloom Filters for Enforcing Integrity of Outsourced Data in Cloud Environments

Content Provider	IEEE Xplore Digital Library
Author	Aditya, T. Baruah, P.K. Mukkamala, R.
Copyright Year	2011
Abstract	With the increasing growth of cloud computing and the resulting outsourcing of data, concerns of data integrity, security, and privacy are also on the rise. Among these, evidence of data integrity -- being tamper-evident and up-to-date, seem to be of immediate concern. While several integrity techniques currently exist, most result in significant storage overhead at the data owner site. For clients with large data sets, these are not viable solutions. In this paper, we propose a space-efficient alternative -- data integrity using Bloom filters. We propose the basic method and discuss different alternatives to implement the scheme based on the trust/threat model and processing/storage capacity at the server and the client. For one of these alternatives, we present a detailed analysis and experimental results. These results are compared with the traditional security hash functions such as SHA-1 and MD5. The Bloom filter implementations are shown to be highly space-efficient at the expense of additional computational overhead. To overcome this bottleneck, we have implemented the schemes on multiprocessor systems. The multicore implementations have significantly reduced the execution time. Our results clearly demonstrate the feasibility and efficacy of employing Bloom filters to enforce data integrity for outsourced data in cloud environments.
Starting Page	292
Ending Page	299
File Size	260781
Page Count	8
File Format	PDF
ISBN	9781457708367
ISSN	21596190
DOI	10.1109/CLOUD.2011.40
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Bloom filter Entropy Servers Matched filters Accuracy Data integrity Vegetation Hashing Parallel processing Outsourcing Cryptography Storage efficiency
Content Type	Text
Resource Type	Article

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