通信学报2016，Vol.37Issue(9)：1-9,9.DOI:10.11959/j.issn.1000-436x.2016172
CCN中基于节点状态模型的缓存污染攻击检测算法
Detection algorithm for cache pollution attacks based on node state model in content centric networking
摘要
Abstract
Aiming at cache pollution attacks in content centric networking, the attacks were quantitatively described by three parameters, namely number of pollution contents, distribution of attack requests and attack intensity, then the cache state model of node under attack was built. Benefited from the analysis of key parameters of cache node, the attack detec-tion principle based on node state model was put forward, correspondingly, two attack detection algorithms were instanti-ated with the observation parameters of cache replacement ratio and request arrival rate. The simulation results show that proposed algorithm can obtain good detection performance under each decentralized attack and centralized attack.关键词
内容中心网络/缓存污染攻击/缓存状态模型/攻击检测Key words
content centric networking/cache pollution attacks/cache state model/attack detection分类
信息技术与安全科学引用本文复制引用
汤红波,郑林浩,葛国栋,袁泉..CCN中基于节点状态模型的缓存污染攻击检测算法[J].通信学报,2016,37(9):1-9,9.基金项目
国家重点基础研究发展计划（“973”计划）基金资助项目（No.2012CB315901）；国家自然科学基金创新群体（No.61521003）；国家高技术研究发展计划（“863”计划）基金资助项目（No.2014AA01A701）Foundation Items：The National Key Basic Research and Development Programs of China (973 Program)(No.2012CB315901), The Foundation for Innovative Research Groups of the National Natural Science Foundation of China (No.61521003), The National High-Tech Research and Development Program of China (863 Program)(No.2014AA01A701) （973 Program）
