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Efficient and secure data storage operations for mobile cloud computing

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2 Author(s)
Zhibin Zhou ; Arizona State Univ., Tempe, AZ, USA ; Dijiang Huang

In a mobile cloud computing system, lightweight wireless communication devices extend cloud services into the sensing domain. A common mobile cloud secure data service is to inquiry the data from sensing devices. The data can be collected from multiple requesters, which may drain out the power of sensing devices quickly. Thus, an efficient data access control model is desired. To this end, we present a comprehensive security data inquiry framework for mobile cloud computing. Our solution focuses on the following two research directions: First, we present a novel Privacy Preserving Cipher Policy Attribute-Based Encryption (PP-CP-ABE) to protect sensing data. Using PP-CP-ABE, light-weight devices can securely outsource heavy encryption and decryption operations to cloud service providers, without revealing the data content. Second, we propose an Attribute Based Data Storage (ABDS) system as a cryptographic group-based access control mechanism. Our performance assessments demonstrate the security strength and efficiency of the presented solution in terms of computation, communication, and storage.

Published in:

Network and service management (cnsm), 2012 8th international conference and 2012 workshop on systems virtualiztion management (svm)

Date of Conference:

22-26 Oct. 2012

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