Probabilistic packet marking for large-scale IP traceback

  • Authors:
  • Michael T. Goodrich

  • Affiliations:
  • Department of Computer Science, University of California, Irvine, CA

  • Venue:
  • IEEE/ACM Transactions on Networking (TON)
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents an approach to IP traceback based on the probabilistic packet marking paradigm. Our approach, which we call randomize-and-link, uses large checksum cords to "link" message fragments in a way that is highly scalable, for the checksums serve both as associative addresses and data integrity verifiers. The main advantage of these checksum cords is that they spread the addresses of possible router messages across a spectrum that is too large for the attacker to easily create messages that collide with legitimate messages.