计算机工程2011，Vol.37Issue(16)：135-137,3.DOI:10.3969/j.issn.1000-3428.2011.16.045
基于稀疏表示的协同入侵检测算法
Cooperative Intrusion Detection Algorithm Based on Sparse Representation
摘要
Abstract
Aiming at the high alarm rate and poor robustness in the existing intrusion detection algorithms, this paper proposes a cooperative intrusion detection algorithm based on sparse representation. The algorithm trains the dictionary for the normal class and attack class, to capture the intrinsic nature of the class characteristics. With the theory of subspace structure, determines the class of test samples according to the error of sparse reconstruction. Experimental results demonstrate that it can guarantee higher detection rate and low false alarm rate, it has good robustness in the imbalanced dataset experiment and has a good degree of differentiation for normal behavior and unusual behavior.关键词
稀疏表示/子空间/重构误差/入侵检测算法Key words
sparse representation/subspace/reconstruction error/intrusion detection algorithm分类
信息技术与安全科学引用本文复制引用
崔保良,滕少华,崔振..基于稀疏表示的协同入侵检测算法[J].计算机工程,2011,37(16):135-137,3.基金项目
广东省自然科学基金资助项目(06021484,9151009001000007) （06021484,9151009001000007）
广东省科技计划基金资助项目(2008A060201011) （2008A060201011）
