NDLI: On the effectiveness of probabilistic packet marking for IP traceback under denial of service attack

Content Provider	IEEE Xplore Digital Library
Author	Kihong Park Heejo Lee
Copyright Year	2001
Description	Author affiliation: Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA (Kihong Park)
Abstract	Effective mitigation of denial of service (DoS) attack is a pressing problem on the Internet. In many instances, DoS attacks can be prevented if the spoofed source IP address is traced back to its origin which allows assigning penalties to the offending party or isolating the compromised hosts and domains from the rest of the network. IP traceback mechanisms based on probabilistic packet marking (PPM) have been proposed for achieving traceback of DoS attacks. We show that probabilistic packet marking-of interest due to its efficiency and implementability vis-a-vis deterministic packet marking and logging or messaging based schemes-suffers under spoofing of the marking field in the IP header by the attacker which can impede traceback by the victim. We show that there is a trade-off between the ability of the victim to localize the attacker and the severity of the DoS attack, which is represented as a function of the marking probability, path length, and traffic volume. The optimal decision problem-the victim can choose the marking probability whereas the attacker can choose the spoofed marking value, source address, and attack volume-can be expressed as a constrained minimax optimization problem, where the victim chooses the marking probability such that the number of forgeable attack paths is minimized. We show that the attacker's ability to hide his location is curtailed by increasing the marking probability, however, the latter is upper-bounded due to sampling constraints. In typical IP internets, the attacker's address can be localized to within 2-5 equally likely sites which renders PPM effective against single source attacks. Under distributed DoS attacks, the uncertainty achievable by the attacker can be amplified, which diminishes the effectiveness of PPM.
Sponsorship	IEEE Comput. Soc. IEEE Commun. Soc
Starting Page	338
Ending Page	347
File Size	310026
Page Count	10
File Format	PDF
ISBN	0780370163
ISSN	0743166X
DOI	10.1109/INFCOM.2001.916716
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-04-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer crime Impedance Pressing IP networks Web and internet services Web server Quality of service Computer networks Intelligent networks Minimax techniques
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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