Bankrupting DoS Attackers
ORCID
Young: https://orcid.org/0000-0002-5251-8595
MSU Affiliation
James Worth Bagley College of Engineering; Department of Computer Science and Engineering
Creation Date
2026-07-30
Abstract
Can we make a denial-of-service attacker pay more than the server and honest clients? Consider a model where a server sees a stream of jobs sent by either honest clients or an adversary. The server sets a price for servicing each job with the aid of an estimator, which provides approximate statistical information about the distribution of previously occurring good jobs. We describe and analyze pricing algorithms for the server under different models of synchrony, with total cost parameterized by the accuracy of the estimator. Given a reasonable accurate estimator, the attacker’s cost grows asymptotically faster than our algorithm’s cost. Additionally, we prove a lower bound, showing that our pricing algorithm yields asymptotically tight results when the estimator is accurate within constant factors.
Publication Date
6-8-2026
Publication Title
Theoretical Computer Science
Publisher
Elsevier
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Rights
© 2026 The Author(s)
Recommended Citation
Chakraborty, T., Islam, A., King, V., Rayborn, D., Saia, J., & Young, M. (2026). Bankrupting DoS attackers. Theoretical Computer Science, 1081, 116082. https://doi.org/10.1016/j.tcs.2026.116082