Novel implementation of a worm detection system using protocol graphs

M. R. Muralidharan, Srinivasan Bhargav

Research output: Contribution to journalArticlepeer-review


Computer worms are self-propagating malicious entities that spread throughout a network or the entire internet, causing irreparable damage. More sophisticated worms emerged and a continuous race between attackers and defenders is ongoing. In order to detect the effects caused by these worms on a network, we have implemented an efficient algorithm that uses the Protocol Graph method for the detection and prevention of worm propagation. The system is implemented using C++ and a Perl wrapper, with a frontend. The system will be able to distinguish malicious traffic in real time based on effective statistical methods. Our algorithm is very efficient and we have included a survey of possible implementation methods and the reason as to why our method proves to be unique and efficient.

Original languageEnglish
Pages (from-to)1222-1228
Number of pages7
JournalARPN Journal of Engineering and Applied Sciences
Issue number3
Publication statusPublished - 01-01-2015
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Engineering(all)


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