In this paper, we apply two indexing methods to Snort rules, Prefix Indexing and Random Indexing, to reduce the number of rules to be examined. We also present ...
LNCS 7115 - Rule Indexing for Efficient Intrusion Detection Systems
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In this paper, we apply two indexing methods to Snort rules, Prefix Indexing and Random Indexing, to reduce the number of rules to be examined. We also present ...
Snort examines incoming packets with all Snort rules to detect potential malicious packets. Because the portion of malicious packets is usually small, it is not ...
In this paper, we apply two indexing methods to Snort rules, Prefix Indexing and Random Indexing, to reduce the number of rules to be examined. We also present ...
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To detect and classify such malicious activities, Snort, the open-sourced network intrusion detection system, is widely used. Snort examines incoming packets ...
Sep 11, 2024 · This study introduces a novel Transfer Learning (TL) mechanism coupled with the EGAN-BiLSTM-CCNN model for IDS.
This paper proposes a method that reduces the number of signatures to be examined and shows the experimental results of the proposed method.
Oct 22, 2024 · Specifically, it addresses the problem of determining the enabled and disabled states of rules in a rule-based IDS. Knowing the state of a rule ...
May 1, 2005 · Reconfigurability and flexibility are key features of the system that enable it to adapt to protect Internet systems from threats including ...
This survey focuses on intrusion detection systems (IDS) that leverage host-based data sources for detecting attacks on enterprise network.