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Enhancing the Accuracy of Network-Based Intrusion Detection with Host-Based Context

  • Conference paper
Detection of Intrusions and Malware, and Vulnerability Assessment (DIMVA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 3548))

Abstract

In the recent past, both network- and host-based approaches to intrusion detection have received much attention in the network security community. No approach, taken exclusively, provides a satisfactory solution: network-based systems are prone to evasion, while host-based solutions suffer from scalability and maintenance problems. In this paper we present an integrated approach, leveraging the best of both worlds: we preserve the advantages of network-based detection, but alleviate its weaknesses by improving the accuracy of the traffic analysis with specific host-based context. Our framework preserves a separation of policy from mechanism, is highly configurable and more flexible than sensor/manager-based architectures, and imposes a low overhead on the involved end hosts. We include a case study of our approach for a notoriously hard problem for purely network-based systems: the correct processing of HTTP requests.

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© 2005 Springer-Verlag Berlin Heidelberg

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Dreger, H., Kreibich, C., Paxson, V., Sommer, R. (2005). Enhancing the Accuracy of Network-Based Intrusion Detection with Host-Based Context. In: Julisch, K., Kruegel, C. (eds) Detection of Intrusions and Malware, and Vulnerability Assessment. DIMVA 2005. Lecture Notes in Computer Science, vol 3548. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11506881_13

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  • DOI: https://doi.org/10.1007/11506881_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26613-6

  • Online ISBN: 978-3-540-31645-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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