POWRE: Adaptive Fuzzy Intrusion Detection using Cooperative Agents

EIA-0074919Dickerson，Julie A.爱荷华州立大学POWRE：使用协作代理的自适应模糊入侵检测这项POWRE提案探索了网络安全的一个跨学科研究领域。该项目提出了一种新的方法，使用分布式模糊代理来识别网络系统中的入侵。入侵可以通过注意系统使用中的异常以及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)开发分布式模糊代理来收集和评估交换网络上的数据，(2)对复杂的因果序列和入侵进行编码的新方法，以及(3)使用神经模糊学习方法发现新的攻击特征和阻止错误警报的新机制。

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.