Worm Detection, Early Warning and Response Based on Local Victim Information Conference Paper uri icon

abstract

  • Worm detection systems have traditionally focused on global strategies. In the absence of a global worm detection system, we examine the effectiveness of local worm detection and response strategies. This paper makes three contributions: (1) We propose a simple two-phase local worm victim detection algorithm, DSC (Destination-Source Correlation), based on worm behavior in terms of both infection pattern and scanning pattern. DSC can detect zero-day scanning worms with a high detection rate and very low false positive rate. (2) We demonstrate the effectiveness of early worm warning based on local victim information. For example, warning occurs with 0.19% infection of all vulnerable hosts on Internet when using a /12 monitored network. (3) Based on local victim information, we investigate and evaluate the effectiveness of an automatic real-time local response in terms of slowing down the global Internet worms propagation. (2) and (3) are general results, not specific to certain detection algorithm like DSC. We demonstrate (2) and (3) with both analytical models and packet-level network simulator experiments. 2004 IEEE.

name of conference

  • 20th Annual Computer Security Applications Conference

published proceedings

  • 20th Annual Computer Security Applications Conference

author list (cited authors)

  • Guofei Gu, .., Sharif, M., Xinzhou Qin, .., Dagon, D., Wenke Lee, .., & Riley, G.

citation count

  • 4

complete list of authors

  • Sharif, M||Dagon, D||Riley, G

publication date

  • January 2004

publisher