Encounter-based worms: analysis and defense

In this article they develop the aggressive one-sided interaction worm model for understanding the distributed security response mechanism using beneficial worm in encounter-based network. In addition, we propose the two-group concept on worm propagation in encounter-based networks. We simulate such worm interaction and find that the inter- encounter rate plays an important role in determining total infectives. We attenuate the vaccination and termination rate to reduce unnecessary communication overhead of individual predator infective, finding that the counter limit that controls the attenuation must be carefully assigned to have equivalent performance as the approach without counter limit does. Further study is needed on modeling encounter patterns of real users. We plan to extract such users´ behavior from wireless LAN trace of major universities, e.g. University of Southern California, and Dartmouth College.