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- W2949444903 abstract "Collaborative intrusion detection networks are often used to gain better detection accuracy and cost efficiency as compared to a single host-based intrusion detection system (IDS). Through cooperation, it is possible for a local IDS to detect new attacks that may be known to other experienced acquaintances. In this paper, we present a sequential hypothesis testing method for feedback aggregation for each individual IDS in the net- work. Our simulation results corroborate our theoretical results and demonstrate the properties of cost efficiency and accuracy compared to other heuristic methods. The analytical result on the lower-bound of the average number of acquaintances for consultation is essential for the design and configuration of IDSs in a collaborative environment." @default.
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- W2949444903 date "2010-02-16" @default.
- W2949444903 modified "2023-09-26" @default.
- W2949444903 title "A Distributed Sequential Algorithm for Collaborative Intrusion Detection Networks" @default.
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- W2949444903 doi "https://doi.org/10.48550/arxiv.1002.3190" @default.
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