Detection and Defense Schemes for Cache Pollution Attack in Content-Centric Network

Cache pollution attack is a security problem of cache in Content-Centric Network (CCN). Cache pollution attacks include False Locality Attack (FLA) and Location Disruption Attack (LDA). This paper mainly considers FLA attacks, and cache pollution attacks mentioned in this paper are also referred to FLA attacks. Cache pollution attack mainly refers to the malicious user by a large number of requests for some unpopular content, mislead the network cache node to cache these unpopular content, seriously affect the cache efficiency of CCN. In actual network applications, there may be a large amount of content accessed in a short time, that is, Flash Crowd event. Such legitimate events may also be blocked by the defense system. Therefore, it is necessary to design effective attack detection and defense schemes against cache pollution attack. This paper is mainly carried out from the following aspects: firstly, the difference between FLA attack and Flash Crowd event is discussed, and then attack detection and defense schemes based on user behavior and network parameters is introduced. Finally, ndnSIM is used for simulation experiment, and compared with other algorithms.