计算机应用研究2016，Vol.33Issue(10)：3049-3051,3082,4.DOI:10.3969/j.issn.1001-3695.2016.10.040
基于改进DS证据融合与 ELM的入侵检测算法
Intrusion detection technologies based on improved evidence fusion of DS and ELM
摘要
Abstract
In order to improve the detection rate,DS evidence fusion technology and ELMcould improve overall detection sys-tem.However,DS technology was not ideal when the traditional sources was conflict.Therefore,the text gave the new evi-dence theory (improved Dempster-Shafer,I-DS)by dividing the source into acceptable and unacceptable conflict judging from intensity conflict of evidences,at same time,it made an improvement about the disadvantages.Because the disadvantages af-fected the algorithm performance deficiencies for the randomly producing hidden neurons.Experiments show that combined with the I-DS and improved ELM can be a faster and more effective identification intrusion.关键词
网络入侵检测/DS证据理论/冲突强度/极限学习机Key words
network intrusion detection/DS evidence theory/conflict of intensity/extreme learning machine(ELM)分类
信息技术与安全科学引用本文复制引用
李永忠,陈兴亮,于化龙..基于改进DS证据融合与 ELM的入侵检测算法[J].计算机应用研究,2016,33(10):3049-3051,3082,4.基金项目
国家自然科学基金资助项目（61305058）；江苏省自然科学基金资助项目 （）
