Design of cloud-based parallel exclusive signature matching model in intrusion detection

Yuxin MENG, Wenjuan LI, Lam-For KWOK

Research output: Chapter in Book/Report/Conference proceedingChapters

12 Citations (Scopus)

Abstract

Signature-based intrusion detection systems have been widely deployed in current network environments to defend against various attacks, but the expensive process of signature matching is a major suffering problem for these detection systems. Thus, a high-performance signature matching scheme is of great importance for a signature-based IDS. In our previous work, we have developed an exclusive signature matching scheme that aims to identify a mismatch instead of locating an accurate match and achieved good results in the experiments. With the advent of Cloud Computing, IDS as a service (IDSaaS) has been proposed as an alternative by offloading the expensive operations such as the process of signature matching to the cloud. In this paper, we attempt to design a parallel model to conduct the exclusive signature matching in a cloud. In the evaluation, we implemented our model in a cloud environment and investigated its performance compared with Snort. The experimental results indicate that our proposed model can achieve promising performance in such a cloud environment. Copyright © 2013 IEEE.

Original languageEnglish
Title of host publicationProceedings of 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013
Place of PublicationUSA
PublisherIEEE
Pages175-182
ISBN (Print)9780769550886
DOIs
Publication statusPublished - 2014

Citation

Meng, Y., Li, W., & Kwok, L.-F. (2014). Design of cloud-based parallel exclusive signature matching model in intrusion detection. In Proceedings of 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013 (pp. 175-182). IEEE. https://doi.org/10.1109/HPCC.and.EUC.2013.34

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