Booting the booters : evaluating the effects of police interventions in the market for denial-of-service attacks
Collier, Ben and Thomas, Daniel R. and Clayton, Richard and Hutchings, Alice; (2019) Booting the booters : evaluating the effects of police interventions in the market for denial-of-service attacks. In: IMC 2019 - Proceedings of the 2019 ACM Internet Measurement Conference. ACM, NLD, pp. 50-64. ISBN 9781450369480 (https://doi.org/10.1145/3355369.3355592)
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Abstract
Illegal booter services offer denial of service (DoS) attacks for a fee of a few tens of dollars a month. Internationally, police have implemented a range of different types of intervention aimed at those using and offering booter services, including arrests and website takedown. In order to measure the impact of these interventions we look at the usage reports that booters themselves provide and at measurements of reflected UDP DoS attacks, leveraging a five year measurement dataset that has been statistically demonstrated to have very high coverage. We analysed time series data (using a negative binomial regression model) to show that several interventions have had a statistically significant impact on the number of attacks. We show that, while there is no consistent effect of highly-publicised court cases, takedowns of individual booters precede significant, but short-lived, reductions in recorded attack numbers. However, more wide-ranging disruptions have much longer effects. The closure of HackForums' booter market reduced attacks for 13 weeks globally (and for longer in particular countries) and the FBI's coordinated operation in December 2018, which involved both takedowns and arrests, reduced attacks by a third for at least 10 weeks and resulted in lasting change to the structure of the booter market.
ORCID iDs
Collier, Ben, Thomas, Daniel R. ORCID: https://orcid.org/0000-0001-8936-0683, Clayton, Richard and Hutchings, Alice;-
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Item type: Book Section ID code: 70746 Dates: DateEvent21 October 2019Published19 July 2019AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 10 Dec 2019 15:13 Last modified: 11 Nov 2024 15:19 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/70746