TY - JOUR
T1 - Towards fault-tolerant fine-grained data access control for smart grid
AU - Wu, Jun
AU - Dong, Mianxiong
AU - Ota, Kaoru
AU - Zhou, Zhenyu
AU - Duan, Bin
N1 - Funding Information:
Mianxiong Dong is a JSPS Research Fellow with School of Computer Science and Engineering, The University of Aizu, Japan. He was with University of Waterloo supported by JSPS Excellent Young Researcher Overseas Visit Program from April 2010 to March 2011. From January 2007 to March 2007, he was a visiting scholar of West Virginia University, USA. From August 2007 to September 2007, he was a research associate at TSUKIDEN SOFTWARE PHILIPPINES, Philippines. His work also supported by NEC C&C Foundation, Japan and Circle for the Promotion of Science and Engineering, Japan. He is the Best Paper Award winner of IEEE HPCC 2008 and IEEE ICESS 2008. He is currently a research scientist with A3 Foresight Program (2011–2014) funded by JSPS, NSFC of China, and NRF of Korea. His research interests include wireless sensor networks, vehicular ad-hoc networks, wireless security and pervasive computing.
PY - 2014/4
Y1 - 2014/4
N2 - Data access control within smart grids is a challenging issue because of the environmental noise and interferences. On one hand side, fine-grained data access control is essential because illegal access to the sensitive data may cause disastrous implications and/or be prohibited by the law. On the other hand, fault tolerance of the access control is very important, because of the potential impacts (implied by the errors) which could be significantly more serious than the ones regarding general data. In particular, control bits corruption could invalidate the security operation. To address the above challenges, this paper proposes a dedicated data access control scheme that is able to enforce fine-grained access control and resist against the corruptions implied by the noisy channels and the environmental interferences. The proposed scheme exploits a state-of-the-art cryptographic primitive called Fuzzy identity-based encryption with the lattice based access control and dedicated error-correction coding. We evaluate our proposed scheme by extensive simulations in terms of error correcting capability and energy consumption and results show the efficiency and feasibility of the proposed scheme. To our best knowledge, this paper is the first which addresses fault tolerant fine-grained data access control for smart grid.
AB - Data access control within smart grids is a challenging issue because of the environmental noise and interferences. On one hand side, fine-grained data access control is essential because illegal access to the sensitive data may cause disastrous implications and/or be prohibited by the law. On the other hand, fault tolerance of the access control is very important, because of the potential impacts (implied by the errors) which could be significantly more serious than the ones regarding general data. In particular, control bits corruption could invalidate the security operation. To address the above challenges, this paper proposes a dedicated data access control scheme that is able to enforce fine-grained access control and resist against the corruptions implied by the noisy channels and the environmental interferences. The proposed scheme exploits a state-of-the-art cryptographic primitive called Fuzzy identity-based encryption with the lattice based access control and dedicated error-correction coding. We evaluate our proposed scheme by extensive simulations in terms of error correcting capability and energy consumption and results show the efficiency and feasibility of the proposed scheme. To our best knowledge, this paper is the first which addresses fault tolerant fine-grained data access control for smart grid.
KW - Data access control
KW - Fault-tolerance
KW - Identity-based encryption
KW - Smart grid
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U2 - 10.1007/s11277-013-1294-6
DO - 10.1007/s11277-013-1294-6
M3 - Article
AN - SCOPUS:84899423454
SN - 0929-6212
VL - 75
SP - 1787
EP - 1808
JO - Wireless Personal Communications
JF - Wireless Personal Communications
IS - 3
ER -