MULTI-AGENT, DISTRIBUTED, PRIVACY-PRESERVING DATA MANAGEMENT AND DATA MINING TECHNIQUES TO DETECT CROSS-DOMAIN NETWORK ATTACKS

摘要

The present invention is a method and a system that uses privacy-preserving distributed data stream mining algorithms for mining continuously generated data from different network sensors used to monitor data communication in a computer network. The system is designed to compute global network-threat statistics by combining the output of the network sensors using privacy-preserving distributed data stream mining algorithms.