Dynamic Forensics System with Intrusion Tolerance Based on Hierarchical Coloured Petri-nets

Hsing-Chung Chen, Jai-Zong Sun, Z. Wu
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引用次数: 4

Abstract

In this paper, we propose a dynamic forensics system (DFS) with intrusion tolerance by using Hierarchical Fuzzy Coloured Petri-Nets (HFCPNs), which is utilized to analyze the risk level of the traffic packets received from real server. We improve the intrusion tolerance mechanism [6] by using the HFCPNs. When the server is under some threats of intrusion, the malicious packets can be detected by the DFS, and will redirect them to shadow server. By way of using the Coloured Petri Nets and depending on the operator’s experience of fuzzy control, we support more detail design for DFS which can detect more malicious threats than [6]. Therefore, the design of transition will be more flexible for preventing various malicious threats in the DFS.
基于分层彩色petri网的入侵容忍动态取证系统
本文提出了一种基于层次模糊彩色Petri-Nets (HFCPNs)的入侵容忍动态取证系统(DFS),用于分析来自真实服务器的流量数据包的风险等级。我们利用hfcpn改进了入侵容忍机制[6]。当服务器受到某些入侵威胁时,DFS可以检测到恶意数据包,并将其重定向到影子服务器。通过使用彩色Petri网,并根据操作员的模糊控制经验,我们支持更详细的DFS设计,可以检测到比[6]更多的恶意威胁。因此,转换的设计将更加灵活,以防止DFS中的各种恶意威胁。
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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