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An Artificial Immune System based General Purpose Intrusion Detection System
This project is funded by the National ICT R&D fund, Government of Pakistan, over the period of 3 years (2008-2010).
The aim of this project is to develop a general-purpose AIS based, open-source, windows based Intrusion Detection System, which must be able to recognize previously unknown malware of all types including but not limited to file infectors, boot-sector infectors, macro viruses, trojans and other malware and must also be able to detect and stop/filter traffic floods launched by any other compromised hosts in the network. It is a requirement of the system that the new IDS must not require updating in its signature database to detect new viruses.
People
M. Zubair Shafiq (Research Engineer)
Syeda Momina Tabish (Research Engineer)
Muhammad Umer (Research Engineer)
Faraz Ahmad (Research Student)
Haider Hameed (Research Student)
Salman Manzoor (Research Student)
Publications
Publications can be downloaded from publications section. 1. M. Zubair Shafiq, Syed Ali Khayam and Muddassar Farooq, “Embedded Malware Detection using Markov n-grams”, Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA), Lecture Notes in Computer Science, Springer Verlag, Paris, France, 2008.
2. M. Zubair Shafiq, Syed Ali Khayam and Muddassar Farooq, “Improving Accuracy of Immune-inspired Malware Detectors by using Intelligent Features”, Genetic and Evolutionary Computation Conference (GECCO), ACM Press, Atlanta, USA, 2008.
3. M. Zubair Shafiq, Muddassar Farooq and Syed Ali Khayam, “A Comparative Study of Fuzzy Inference Systems, Neural Networks and Adaptive Neuro Fuzzy Inference Systems for Portscan Detection”, Applications of Evolutionary Computing, EvoWorkshops: EvoCoMnet, Lecture Notes in Computer Science (LNCS), Springer Verlag, Napoli, Italy, 2008. (Runners Up - Best Paper Award)
4. M. Zubair Shafiq and Muddassar Farooq, “Defence against 802.11 DoS Attacks using Artificial Immune System”, In Leandro N. de Castro; Fernando J. Von Zuben; Helder Knidel, editors, Proceedings of International Conference on Artificial Immune Systems (ICARIS 2007), Volume 4628 of Lecture Notes in Computer Science (LNCS), pages 95-106, Springer Verlag, Santos, Brazil, August, 2007.
5. M. Zubair Shafiq, Mehrin Kiani, Bisma Hashmi and Muddassar Farooq “Extended Thymus Action for Improving the response of AIS based NID System against Malicious Traffic”, IEEE International Conference on Evolutionary Computing (CEC), pages 3369-3376, Singapore, September, 2007.
6. M. Zubair Shafiq, Mehrin Kiani, Bisma Hashmi and Muddassar Farooq “Extended Thymus Action for Reducing False Positives in AIS based Network Intrusion Detection Systems”, Genetic and Evolutionary Computation Conference (GECCO-07’), ACM Press, London, July, 2007.
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