Securing a Network by Modeling and Containment of Worms Using Preference Scanning
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 10
Abstract
Self-propagating codes, called worms. In this paper, we present an inclination branching process model for characterizing the propagation of Internet worms. Basically user knows the name and the definition of worms, but sometimes due to the validity of the worm containment system, system cannot find the worms. The model is developed for preference scanning worms and then extended to inclination scanning worms. This model leads to the development of an inclination worm containment strategy that prevents the spread of a worm beyond its early stage. Specifically, for preference scanning worms, we are able to provide a precise condition that determines whether the worm spread will eventually stop and obtain the distribution of the total number of hosts that the worm infects. We then extend our results to contain inclination scanning worms. Our strategy is based on limiting the number of scans to dark-address space. Our inclination worm containment schemes effectively contain both uniform scanning worms and local preference scanning worms, and it is validated through simulations and real trace data to be nonintrusive. We also show that our worm strategy, when used with traditional firewalls, can be deployed incrementally to provide worm containment for the local network and benefit the Internet.
Authors and Affiliations
Rohitkumar R. Wagdarikar, Ramkrushna C. Maheshwar, Manik A. Raichurakar
Keywords
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