A multi-gigabit virus detection algorithm using ternary CAM

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Abstract

During the last few years, the number of Internet worms and viruses has significantly increased. For the fast detection of Internet worms/viruses, the signature-based scheme with TCAM is necessary for the network intrusion detection system (NIDS). However, due to the limit of the TCAM size, all the signatures of Internet worms/viruses cannot be stored. Hence, we propose a two-phase content inspection algorithm which can support a large number of long signatures at TCAM. From the simulation results, it is shown that our algorithm for TCAM provides a fast virus-detection capability at line rate of 10Gbps (OC192). © Springer-Verlag Berlin Heidelberg 2005.

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Song, I. S., Lee, Y., & Kwon, T. G. (2005). A multi-gigabit virus detection algorithm using ternary CAM. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3802 LNAI, pp. 220–227). Springer Verlag. https://doi.org/10.1007/11596981_33

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