Literature Database Entry

berger2014adaptive


Mario Berger, Felix Erlacher, Christoph Sommer and Falko Dressler, "Adaptive Load Allocation for Combining Anomaly Detectors Using Controlled Skips," Proceedings of 3rd IEEE International Conference on Computing, Networking and Communications (ICNC 2014), CNC Workshop, Honolulu, HI, February 2014, pp. 792-796.

Abstract

Traditional Intrusion Detection Systems (IDS) can be complemented by an Anomaly Detection Algorithm (ADA) to also identify unknown attacks. We argue that, as each ADA has its own strengths and weaknesses, it might be beneficial to rely on multiple ADAs to obtain deeper insights. ADAs are very resource intensive; thus, real-time detection with multiple algorithms is even more challenging in high-speed networks. To handle such high data rates, we developed a controlled load allocation scheme that adaptively allocates multiple ADAs on a multi-core system. The key idea of this concept is to utilize as many algorithms as possible without causing random packet drops, which is the typical system behavior in overload situations. We developed a proof of concept anomaly detection framework with a sample set of ADAs. Our experiments confirm that the detection performance can substantially benefit from using multiple algorithms and that the developed framework is also able to cope with high packet rates.

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Mario Berger
Felix Erlacher
Christoph Sommer
Falko Dressler

BibTeX reference

@inproceedings{berger2014adaptive,
    author = {Berger, Mario and Erlacher, Felix and Sommer, Christoph and Dressler, Falko},
    title = {{Adaptive Load Allocation for Combining Anomaly Detectors Using Controlled Skips}},
    booktitle = {3rd IEEE International Conference on Computing, Networking and Communications (ICNC 2014), CNC Workshop},
    pages = {792-796},
    year = {2014},
    month = {February},
    address = {Honolulu, HI},
    publisher = {IEEE},
    doi = {10.1109/ICCNC.2014.6785438},
   }
   
   

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