POWRE: Adaptive Fuzzy Intrusion Detection using Cooperative Agents

EIA-0074919迪克森，朱莉A.爱荷华州州立大学POWRE：自适应模糊入侵检测使用合作代理这POWRE建议探索网络安全研究的跨学科领域。 该项目提出了一种新的方法，使用分布式模糊代理识别网络系统中的入侵。入侵可以通过记录系统使用中的异常和计算资源或数据的滥用来检测。作为这项研究的一部分，将解决以下问题：（1）分布式模糊代理的发展，收集和评估数据的交换网络，（2）编码复杂的因果序列和入侵的新方法，和（3）新的机制，发现新的攻击配置文件和方法，以阻止误报使用神经模糊学习方法。

EIA-0074919Dickerson, Julie A.Iowa State UniversityPOWRE: Adaptive Fuzzy Intrusion Detection using Cooperative AgentsThis POWRE proposal explores an interdisciplinary area of research in network security. The project proposes a novel method that uses distributed fuzzy agents to recognize intrusions in networked systems. Intrusions can be detected by noting anomalies in the use of a system and misuse of computing resources or data. As part of this research, the following issues will be addressed: (1) the development of distributed fuzzy agents to collect and assess data on a switched network, (2) new methods of encoding complex causal sequences and intrusions, and (3) novel mechanisms for finding new attack profiles and methods to stop false alarms using neural fuzzy learning methods.