利用人工智能的混合方法提高IDPS效率

Georgi Tsochev, R. Trifonov, R. Yoshinov, Slavcho Manolov, G. Pavlova
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引用次数: 2

摘要

本文描述了索菲亚技术大学计算机系统与技术学院在实施有关应用智能方法提高计算机网络安全性的项目中取得的一些成果。同时对现有的混合防御方法进行了综述,这些混合防御方法采用了多种人工智能方法进行网络防御。本文通过在实验室环境下构建简单的实时模型,介绍了一种以多智能体系统为基础,应用人工智能的入侵检测系统模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving the Efficiency of IDPS by using Hybrid Methods from Artificial Intelligence
The present paper describes some of the results obtained in the Faculty of Computer Systems and Technology at Technical University of Sofia in the implementation of project related to the application of intelligent methods for increasing the security in computer networks. Also is made a survey about existing hybrid methods, which are using several artificial intelligent methods for cyber defense. The paper introduces a model for intrusion detection systems where multi agent systems are the bases and artificial intelligence are applicable by the means simple real-time models constructed in laboratory environment.
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