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Enhancing interoperability and stateful analysis of cooperative network intrusion detection systems

Published: 03 December 2007 Publication History

Abstract

A traditional Network Intrusion Detection System (NIDS) is based on a centralized architecture that does not satisfy the needs of most modern network infrastructures characterized by high traffic volumes and complex topologies. The of decentralized NIDS based on multiple sensors is that each of them gets just a partial view of the network traffic and this prevents a stateful and fully reliable traffic analysis. We propose a novel cooperation mechanism that the previous issues through an innovative state management and state migration framework. It allows multiple decentralized sensors to share their internal state, thus accomplishing innovative and powerful traffic analysis. The advanced functionalities and performance of the proposed cooperative framework for network intrusion detection systems are demonstrated through a fully operative prototype.

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    cover image ACM Conferences
    ANCS '07: Proceedings of the 3rd ACM/IEEE Symposium on Architecture for networking and communications systems
    December 2007
    212 pages
    ISBN:9781595939456
    DOI:10.1145/1323548
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 03 December 2007

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    Author Tags

    1. distributed architectures
    2. network intrusion detection systems
    3. state migration
    4. traffic analysis

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    Overall Acceptance Rate 88 of 314 submissions, 28%

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