TY - JOUR
T1 - Physical Layer Security in Large-Scale Probabilistic Caching
T2 - Analysis and Optimization
AU - Zhang, Shubin
AU - Sun, Wen
AU - Liu, Jiajia
AU - Nei, Kato
N1 - Funding Information:
Manuscript received April 28, 2019; revised June 2, 2019; accepted June 22, 2019. Date of publication July 9, 2019; date of current version September 10, 2019. This work was supported by the National Natural Science Foundation of China (61771374, 61771373, 61801360, and 61601357), in part by the Fundamental Research Fund for the Central Universities (3102019PY005, JB181506, JB181507, and JB181508), and in part by China 111 Project (B16037). The associate editor coordinating the review of this letter and approving it for publication was E. Radoi. (Corresponding author: Jiajia Liu.) S. Zhang is with the School of Cyber Engineering, Xidian University, Xi’an 710126, China.
Publisher Copyright:
© 1997-2012 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - Edge caching is proposed to offload traffic from backhaul links by storing popular contents on edge servers and reusing these pre-cached contents to meet the frequent requests from local users. Due to the limited computing and caching resources of edge servers, the traditional encryption and decryption technologies, deployed in the upper layers of protocol stacks, appeared difficult in providing secure content delivery for the growing number of mobile users. In this letter, we consider the physical layer security issues for the popular probabilistic caching. Unlike most prior works, which are concentrated on maximizing achievable transmission rate, we analyze the average secure delivery probability of the caching network and jointly optimize the redundant rate and caching probabilities. Simulation results are identical with the theoretical ones and the outperformance over existing caching strategies is observed with the optimal caching probability derived in this letter.
AB - Edge caching is proposed to offload traffic from backhaul links by storing popular contents on edge servers and reusing these pre-cached contents to meet the frequent requests from local users. Due to the limited computing and caching resources of edge servers, the traditional encryption and decryption technologies, deployed in the upper layers of protocol stacks, appeared difficult in providing secure content delivery for the growing number of mobile users. In this letter, we consider the physical layer security issues for the popular probabilistic caching. Unlike most prior works, which are concentrated on maximizing achievable transmission rate, we analyze the average secure delivery probability of the caching network and jointly optimize the redundant rate and caching probabilities. Simulation results are identical with the theoretical ones and the outperformance over existing caching strategies is observed with the optimal caching probability derived in this letter.
KW - content placement
KW - Edge caching
KW - optimization
KW - physical layer security
UR - http://www.scopus.com/inward/record.url?scp=85072265512&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072265512&partnerID=8YFLogxK
U2 - 10.1109/LCOMM.2019.2926967
DO - 10.1109/LCOMM.2019.2926967
M3 - Article
AN - SCOPUS:85072265512
SN - 1089-7798
VL - 23
SP - 1484
EP - 1487
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 9
M1 - 8758445
ER -