| 免疫算法在入侵检测模型中的应用研究 |
| |
| 引用本文： | 李成云,支冬栋.免疫算法在入侵检测模型中的应用研究[J].数字社区&智能家居,2011(19). |
| |
| 作者姓名： | 李成云 支冬栋 |
| |
| 作者单位： | 海军司令部;海军后勤部; |
| |
| 摘 要： | 在对常见的免疫算法原理进行分析的基础上,采用阴性选择算法和r-连续位匹配算法,提出一种改进的免疫检测机制,建立一个新的入侵检测模型。新的模型主要采取三点措施:改进候选检测集的生成规则;降低检测器冗余;引入协同检测机制等。在入侵识别阶段,采用基于编辑距离的匹配规则,提高了检测效率。试验仿真表明,该模型可有效提高入侵检测系统的检测率,降低误警率。
|
| 关 键 词： | 免疫算法 入侵检测 检测规则 阴性选择 |
The Research of the Intrusion Detection Model Based on Immune Theory |
| |
| LI Cheng-yun ,ZHI Dong-dong.The Research of the Intrusion Detection Model Based on Immune Theory[J].Digital Community & Smart Home,2011(19). |
| |
| Authors: | LI Cheng-yun ZHI Dong-dong |
| |
| Affiliation: | LI Cheng-yun 1,ZHI Dong-dong 2(1.Naval Headquarters,Beijing 100841,China,2.Naval Logistics Department,China) |
| |
| Abstract: | After analysis of the immune algorithm characteristics,a new intrusion detection model based on negative selection algorithm and r-contiguous-bit matching rule is established.The new model uses three mechanisms to improve the detection effectiveness: to improve the candidate detectors generating algorithm;to reduce detectors redundancy;introduce the co-detection mechanism.Experiments show that this model can effectively increase the detection rate of the IDS with little increase of false positive rate. |
| |
| Keywords: | immune algorithm intrusion detection detection rule negative selection |
| 本文献已被 CNKI 等数据库收录！ |
|
