Abstract

Researchers in the denial-of-service (DoS) field lack accurate, quantitative, and versatile metrics to measure service denial in simulation and testbed experiments. Without such metrics, it is impossible to measure severity of various attacks, quantify success of proposed defenses, and compare their performance. Existing DoS metrics equate service denial with slow communication, low throughput, high resource utilization, and high loss rate. These metrics are not versatile because they fail to monitor all traffic parameters that signal service degradation. They are not quantitative because they fail to specify exact ranges of parameter values that correspond to good or poor service quality. Finally, they are not accurate since they were not proven to correspond to human perception of service denial. We propose several DoS impact metrics that measure the quality of service experienced by users during an attack. Our …

Metadata

publication

IEEE Transactions on Dependable and Secure Computing 6 (2), 81-95, 2008

year

2008

publication date

2008/11/25

authors

Jelena Mirkovic, Alefiya Hussain, Sonia Fahmy, Peter Reiher, Roshan K Thomas

link

https://ieeexplore.ieee.org/abstract/document/4689468/

journal

IEEE Transactions on Dependable and Secure Computing

volume

6

issue

2

pages

81-95

publisher

IEEE