Enhancing MAC Security Model with Meta-policy Approach Using an Intelligent Anomaly Based HIDS

Zeinab Shahbazi, R. Azmi, M. Mahmoudi
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Abstract

This paper exhibits a new structure based on a meta-policy approach using an intelligent anomaly based host based intrusion detection system, These access control decisions are decided in agreement with a meta-policy. The combination of policy and host based intrusion detection system approach depends on operating systems integrating with mandatory access control. The proposed structure controls a extended set of attacks and provides the management of the system policy, compared to other existing access control approaches and policy based host based intrusion detection system techniques. Items are given about methods used for the meta-policy, and implementation of the structure. We used genetic algorithm to try to select what was the best set of features and chose a Bayesian network, that is trained by using the selected system log on operating system.
利用基于异常的智能 HIDS,采用元政策方法增强 MAC 安全模型
本文展示了一种基于元政策方法的新结构,它使用了基于主机的智能异常入侵检测系统,这些访问控制决策是根据元政策决定的。政策与基于主机的入侵检测系统相结合的方法取决于与强制访问控制集成的操作系统。与其他现有的访问控制方法和基于策略的主机入侵检测系统技术相比,建议的结构可以控制更多的攻击,并提供系统策略管理。本文介绍了元政策使用的方法和结构的实现。我们使用遗传算法来尝试选择最佳特征集,并选择了贝叶斯网络,该网络是通过使用操作系统上的选定系统日志来训练的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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