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Distributed Streams-Based Data-Mining for Application Intrusion Detection

机译:基于分布式流的应用入侵检测数据挖掘

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摘要

This investigation considered the challenge of real-time, distributed data mining across high-level TCP/IP protocols for application layer intrusion detection. The approach taken was to focus on the fundamental challenges of; (a) evaluating similarities between different application-level TCP/IP protocols, (b) node-based header evaluation methods for HTTP, (c) a communication strategy to support aggregation and coordination. This streams-based approach to real-time data mining appears to be a useful in many areas including; security monitoring, intrusion detection and sensor networks.

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