Distributed Agent Platform with Intrusion Detection Capabilities

Bogdan Ghit, Octavian Voicu, Florin Pop, V. Cristea
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引用次数: 7

Abstract

This paper’s goal is to design an intrusion detection system for a distributed environment adapted for developing and monitoring agents. The idea is to endow the agent platform with a high level of immunity by integrating the intrusion detection system based on artificial intelligence techniques. The agent platform itself is improved with advanced mechanisms for monitoring, analyzing, discovering, learning, and detecting intruders. The most important aspect of this platform is represented by its capability of detecting and rejecting possible intruders. The paper discusses in a critical way the traditional views of intrusion detection and analyzes the more complex approach to human immune system. The proposed architecture is a layered one and the paper describes the role and capability of each layer. The novelty of this approach is proved by the monitoring agents’ activities regarding services and actions which are translated in terms of system’s resources: processor, memory and bandwidth. The monitoring process is the key of the intrusion detection mechanism.
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具有入侵检测功能的分布式代理平台
本文的目标是为分布式环境设计一个适合开发和监控代理的入侵检测系统。其思想是通过集成基于人工智能技术的入侵检测系统,赋予agent平台高水平的免疫力。代理平台本身改进了用于监视、分析、发现、学习和检测入侵者的高级机制。该平台最重要的方面是其检测和拒绝可能的入侵者的能力。本文批判地讨论了入侵检测的传统观点,并分析了更为复杂的人体免疫系统入侵检测方法。所提出的体系结构是分层的,文中描述了每一层的作用和能力。这种方法的新颖性通过监视代理关于服务和操作的活动来证明,这些活动被转换为系统资源:处理器、内存和带宽。监控过程是入侵检测机制的关键。
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