【24h】

Mobile Agent Based Intrusion Detection System Adopting Hidden Markov Model

机译:隐马尔可夫模型的基于移动Agent的入侵检测系统

获取原文
获取原文并翻译 | 示例

摘要

Mobile agent based intrusion detection systems distribute detection agents to prevent system from shutting down when an agent becomes breaks. Because in this system agents are distributed, it can reduce network delay and network load, and each agent can operate independently. Agents can also be easily added or deleted. In this paper we propose an enhanced design of mobile agent based intrusion detection system using Hidden Markov Model algorithm for detection. Hidden Markov Model algorithm is used to detect abnormal behavior pattern by analyzing log information. By adopting this algorithm to the mobile intrusion detection agents, detection performance can be improved.
机译:基于移动代理的入侵检测系统分发检测代理,以防止代理崩溃时系统关闭。因为在此系统中代理是分布式的,所以可以减少网络延迟和网络负载,并且每个代理可以独立运行。代理也可以轻松添加或删除。在本文中,我们提出了一种使用隐马尔可夫模型算法进行检测的基于移动代理的入侵检测系统的增强设计。隐马尔可夫模型算法用于通过分析日志信息来检测异常行为模式。通过将该算法应用于移动入侵检测代理,可以提高检测性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号