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Immune-inspired Network Intrusion Detection System ( i -NIDS)

GECCO HUMIES - 2008. Immune-inspired Network Intrusion Detection System ( i -NIDS). M. Zubair Shafiq 1 , Syed Ali Khayam 2 , Muddassar Farooq 1. 1 Next Generation Intelligent Networks Research Center National University of Computer & Emerging Sciences Islamabad, Pakistan

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Immune-inspired Network Intrusion Detection System ( i -NIDS)

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  1. GECCO HUMIES - 2008 Immune-inspired Network Intrusion Detection System (i-NIDS) M. Zubair Shafiq1, Syed Ali Khayam2, Muddassar Farooq1 1 Next Generation Intelligent Networks Research Center National University of Computer & Emerging Sciences Islamabad, Pakistan http://www.nexginrc.org 2 School of Electrical Engineering & Computer Sciences National University of Sciences & Technology Rawalpindi, Pakistan http://wisnet.niit.edu.pk

  2. Introduction Simple Human competitive Human^ machinecompetitive

  3. Unfortunately, most computer viruses are not so courteous!

  4. Threat numbers show the story of what’s happening?

  5. 468% increase in malware attacks from 2006-2007 These are Commercial Software…

  6. Motivation for current work

  7. Immune inspired Network Intrusion Detection System Alarm Output • Adaptive Immune System/ • Innate Immune System • Negative Selection • Dendritic Cell Algorithm • Intelligent Statistical Features • Memory of Markov Chain • Multi resolution session rate • Entropy of IP address • Divergence of port distribution Network Traffic Stream

  8. Human^machine Competitive Results

  9. Complete version will be ready in 1 year time; free download Engineered System Patent pending US$200,000 grant to develop the final product from the National ICT R&D fund, Government of Pakistan

  10. Why the best? In a nutshell…

  11. Publications A Comparative Study of Fuzzy Inference Systems, Neural Networks and Adaptive Neuro Fuzzy Inference Systems for Portscan Detection M. ZubairShafiq, MuddassarFarooq and Syed Ali Khayam In M. Giacobini et al.(Eds.), Proceedings of Applications of Evolutionary Computing, EvoWorkshops 2007 (EuroGP-EvoCoMnet), Volume 4974 of Lecture Notes in Computer Science, pp. 48–57, Springer Verlag, Napoli, Italy, March,2008. (BEST PAPER NOMINATION) Improving the Accuracy of Immune-inspired Malware Detectors by using Intelligent Features M. ZubairShafiq, Syed Ali Khayam and MuddassarFarooq In Genetic and Evolutionary Conference (GECCO), July, 2008, Atlanta, USA.

  12. Untze Dream vill finally kome True!

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