Protecting User Privacy in a Multi-Path Information-Centric Network Using Multiple Random-Caches
Protecting User Privacy in a Multi-Path Information-Centric Network Using Multiple Random-Caches作者机构:School of Computer Science and Technology Northwestern Polytechnical University Xi'an 710072 China Department of Information Engineering and Computer Science Feng Chia University Taichung Taiwan 40724 China
出 版 物:《Journal of Computer Science & Technology》 (计算机科学技术学报(英文版))
年 卷 期:2017年第32卷第3期
页 面:585-598页
核心收录:
学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:information-centric network (ICN) user privacy cache snooping random-cache multi-path
摘 要:In-network caching is a fundamental mechanism advocated by information-centric networks (ICNs) for efficient content delivery. However, this new mechanism also brings serious privacy risks due to cache snooping attacks. One effective solution to this problem is random-cache, where the cache in a router randomly mimics a cache hit or a cache miss for each content request/probe. In this paper, we investigate the effectiveness of using multiple random-caches to protect cache privacy in a multi-path ICN. We propose models for characterizing the privacy of multi-path ICNs with random-caches, and analyze two different attack scenarios: 1) prefix-based attacks and 2) suffix-based attacks. Both homogeneous and heterogeneous caches are considered. Our analysis shows that in a multi-path ICN an adversary can potentially gain more privacy information by adopting prefix-based attacks. Furthermore, heterogeneous caches provide much better privacy protection than homogeneous ones under both attacks. The effect of different parameters on the privacy of multi-path random-caches is further investigated, and the comparison with its single-path counterpart is carried out based on numerical evaluations. The analysis and results in this paper provide insights in designing and evaluating multi-path ICNs when we take privacy into consideration.