Context-Aware Privacy Preservation in Network Caching: An Information Theoretic Approach
Hassanpour S.B. Diyanat A. Khonsari A. Shariatpanahi S.P. Dadlani A.
January 2021Institute of Electrical and Electronics Engineers Inc.
IEEE Communications Letters
2021#25Issue 154 - 58 pp.
Caching has been recognized as a viable solution to surmount the limited capability of backhaul links in handling abundant network traffic. Although optimal approaches for minimizing the average delivery load do exist, current caching strategies fail to avert intelligent adversaries from obtaining invaluable contextual information by inspecting the wireless communication links and thus, violating users privacy. Grounded in information theory, in this letter, we propose a mathematical model for preserving privacy in a network caching system involving a server and a cache-aided end user. We then present an efficient content caching method that maximizes the degree of privacy preservation while maintaining the average delivery load at a given level. Given the Pareto optimal nature of the proposed epsilon -constraint optimization approach, we also obtain the maximum privacy degree achievable under any given average delivery load. Numerical results and comparisons validate the correctness of our context-oriented privacy model.
Content caching , context-oriented privacy , error probability bound , information theory , Pareto optimal
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Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
School of Computer Science, IPM Institute for Research in Fundamental Sciences, Tehran, 19395-5531, Iran
Department of Electrical and Computer Engineering, Nazarbayev University, Nur-Sultan, Kazakhstan
Department of Computer Engineering
School of Electrical and Computer Engineering
School of Computer Science
Department of Electrical and Computer Engineering
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