Ge Guo-Dong, Guo Yun-Fei, Liu Cai-Xia, Lan Ju-Long. A Collaborative Caching Strategy for Privacy Protection in Content Centric Networking[J]. Journal of Electronics & Information Technology, 2015, 37(5): 1220-1226. doi: 10.11999/JEIT140874
Citation:
Ge Guo-Dong, Guo Yun-Fei, Liu Cai-Xia, Lan Ju-Long. A Collaborative Caching Strategy for Privacy Protection in Content Centric Networking[J]. Journal of Electronics & Information Technology, 2015, 37(5): 1220-1226. doi: 10.11999/JEIT140874
Ge Guo-Dong, Guo Yun-Fei, Liu Cai-Xia, Lan Ju-Long. A Collaborative Caching Strategy for Privacy Protection in Content Centric Networking[J]. Journal of Electronics & Information Technology, 2015, 37(5): 1220-1226. doi: 10.11999/JEIT140874
Citation:
Ge Guo-Dong, Guo Yun-Fei, Liu Cai-Xia, Lan Ju-Long. A Collaborative Caching Strategy for Privacy Protection in Content Centric Networking[J]. Journal of Electronics & Information Technology, 2015, 37(5): 1220-1226. doi: 10.11999/JEIT140874
How to mitigate the privacy attacks related to the ubiquitous presence of caching poses challenges to the content delivery in Content Centric Networking. On the basis of trade-off between content distribution performance and users privacy, a collaborative caching strategy for privacy protection is proposed. First, the privacy metrics are designed and the rationality of the proposed strategy is demonstrated by applying the concept of information entropy. And then, the anonymity domain is constructed to increase the uncertainty of which nearby consumer recently requested certain cached content. When making the caching decision, in order to eliminate the cache redundancy and privacy leaks, the hottest on-path caching and the collaborative hash caching are proposed for the vertical requesting path and horizontal anonymity domains, respectively. The simulation results show that the strategy can decrease the request latency, increase the cache hit ratio, and enhance the protection of users privacy while improving the efficiency of content distribution.