Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/1344
Title: Accurate signature generation for polymorphic worms using principal component analysis
Author(s): Chan, Anthony Hing Hung 
Author(s): Mohammed. M. M. Z. E.
Ventura, N.
Hashim, M.
Amin, I.
Bashier, E.
Issue Date: 2010
Publisher: IEEE
Related Publication(s): Proceedings of the 2010 IEEE GLOBECOM Workshops (GC Wkshps)
Start page: 1555
End page: 1560
Abstract: 
Internet worms pose a major threat to Internet infrastructure security, and their destruction causes loss of millions of dollars. Therefore, the networks must be pro-tected as much as possible to avoid losses. In this paper we propose accurate system for signature generation for Zero-day polymorphic worms. We have designed a novel double-honeynet system, which is able to detect new worms that have not been seen before. We apply Princi-pal Component Analysis (PCA) to determine the most significant substrings that are shared between po-lymorphic worm instances. The experimental results show that the PCA has successfully detected polymorphic worms with zero false positives and zero false negatives.
URI: https://repository.cihe.edu.hk/jspui/handle/cihe/1344
DOI: 10.1109/GLOCOMW.2010.5700200
CIHE Affiliated Publication: No
Appears in Collections:CIS Publication

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