首页> 外文会议>IEEE Symposium on Computational Intelligence in Cyber Security >Environmental Awareness Intrusion Detection and Prevention System toward reducing False Positives and False Negatives
【24h】

Environmental Awareness Intrusion Detection and Prevention System toward reducing False Positives and False Negatives

机译:环境意识入侵检测和预防系统降低误报和假底层

获取原文

摘要

Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS) are now considered a mainstream security technology. IDS and IPS are designed to identify security breaches. However, one of the most important problems with current IDS and IPS is the lack of the "environmental awareness" (i.e. security policy, network topology and software). This ignorance triggers many false positives (false alerts) and false negatives (undetected attacks). In this paper, we propose a novel intrusion detection and prevention architecture where we integrate the characteristics and the properties of the protected system in the traffic analysis process. The experimental evaluation shows the effectiveness of our solution. In fact, we measure a reduction of 89.59% of false positives and 79.18% of false negatives.
机译:入侵检测系统(IDS)和入侵防御系统(IPS)现在被认为是主流安全技术。 IDS和IPS旨在识别安全漏洞。然而,当前ID和IPS最重要的问题之一是缺乏“环境意识”(即安全策略,网络拓扑和软件)。这种无知触发了许多误报(假警报)和假否定(未检测到的攻击)。在本文中,我们提出了一种新的入侵检测和预防架构,在那里我们在交通分析过程中集成了受保护系统的特征和性质。实验评价显示了我们解决方案的有效性。事实上,我们测量减少89.59%的假阳性和79.18%的假阴性。

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