A Cache Privacy Protection Strategy Based on Content Privacy and User Security Classification in CCN
Jie Liang, Yinlong Liu · 2019
One of the most important security threats in Content Centric Networking (CCN) is cache privacy disclosure, where an adversary can obtain the privacy information of a legitimate user through timing attack. In view of this security problem, we propose a cache privacy protection strategy based on content privacy and user security classification (CPUSC). While protecting user privacy, CPUSC also takes into account the efficiency of content distribution. Firstly, CPUSC starting from user's subjective point of view to determine content privacy level. Secondly, the router in the system assigns a credit value to each user according to the user's behavior and sets a security level for each of them. Then, in the light of the credit value, the user's security level can be defined. Finally, a latency is set for each content response based on the content privacy level and the user's security level. Performance analysis show that the proposed scheme can effectively protect the user's privacy while ensuring the content distribution efficiency of the network.