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- W2101134816 abstract "Modern Network Intrusion Detection Systems (NIDSs) maintain state that helps them accurately detect attacks. Because most NIDSs are signature-based, it is critical to update their rule-sets frequently; unfortunately, doing so can result in downtime that causes state to be lost, leading to vulnerabilities of attack misclassification. In this paper, we show that such vulnerabilities do exist and provide a way to avoid them. Using the open-source NIDS Snort, we present Elephant, an approach and implementation for updating rule-sets that provides a way to cause Snort to enter a safe quiescent point, load the new rules into memory, and remove the old rules from memory-all while preserving the state that is required to make sure that the NIDS does not miss attacks. We provide a critique and performance evaluation of our technique." @default.
- W2101134816 created "2016-06-24" @default.
- W2101134816 creator A5027654945 @default.
- W2101134816 creator A5071484632 @default.
- W2101134816 date "2005-04-01" @default.
- W2101134816 modified "2023-10-17" @default.
- W2101134816 title "Elephant: Network Intrusion Detection Systems that Don't Forget" @default.
- W2101134816 cites W2101307187 @default.
- W2101134816 cites W3105682467 @default.
- W2101134816 doi "https://doi.org/10.1109/hicss.2005.230" @default.
- W2101134816 hasPublicationYear "2005" @default.
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