Slowing Down Internet Worms

  • Authors:
  • Shigang Chen;Yong Tang

  • Affiliations:
  • -;-

  • Venue:
  • ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
  • Year:
  • 2004

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Abstract

An Internet worm automatically replicates itself to vulnerable systems and may infect hundreds of thousands of servers across the Internet. It is conceivable that the cyber-terrorists may use a wide-spread worm to cause major disruption to our Internet economy. While much recent research concentrates on propagation models, the defense against worms is largely an open problem. We propose a distributed anti-worm architecture (DAW) that automatically slows down or even halts the worm propagation. New defense techniques are developed based on behavioral difference between normal hosts and worm-infected hosts. Particulary, a worm-infected host has a much higher connection-failure rate when it scans the Internet with randomly selected addresses. This property allows DAW to set the worms apart from the normal hosts. We propose a temporal rate-limit algorithm and a spatial rate-limit algorithm, which makes the speed of worm propagation configurable by the parameters of the defense system. DAW is designed for an Internet service provider to provide the anti-worm service to its customers. The effectiveness of the new techniques is evaluated analytically and by simulations.