Title
Context-Aware Privacy Preservation in Network Caching: An Information Theoretic Approach
Abstract
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.
Year
DOI
Venue
2021
10.1109/LCOMM.2020.3021919
IEEE Communications Letters
Keywords
DocType
Volume
Content caching,context-oriented privacy,error probability bound,Pareto optimal,information theory
Journal
25
Issue
ISSN
Citations 
1
1089-7798
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Seyedeh Bahereh Hassanpour100.34
Abolfazl Diyanat2594.79
Ahmad Khonsari321042.43
Seyed Pooya Shariatpanahi46013.70
Aresh Dadlani59813.04