Peer-to-Peer Data Mining Classifiers for Decentralized Detection of Network Attacks

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Provided by: Australian Computer Society
Topic: Data Management
Format: PDF
Data mining aims to extract from huge amount of data stochastic theories, called knowledge models, to explain or predict complex phenomenon. In this paper the authors propose new distributed data mining algorithms to recognize network attacks against a set of devices from statistic data generated locally by each device according to the standard Simple Network Management Protocol (SNMP) available in each modern operating systems. The idea is to place an autonomous mining resource in each network node that cooperates with its neighbors in a peer-to-peer fashion in order to reciprocally improve their detection capabilities.
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