Abstract
Distributed Denial of Service (DDoS) attacks mean millions in revenue losses to many industries, such e-commerce and online financial services. The amount of reported DDoS attacks has increased with 47% compared to 2013. One of the reasons for this increase is the availability and ease of accessibility to websites, which provide DDoS attacks as a paid service, called Booters. Although there are hundreds of Booters available, current researches are focused on a handful sample of them - either to analyse attack traffic or hacked databases. Towards a thorough understanding and mitigation of Booters, a comprehensive list of them is needed. In this paper we characterize Booter websites and demonstrate that the found main characteristics can be used to classify Booters with 85% of accuracy. The Dutch National Research and Education Network (SURFnet) has been using a list generated by our methodology since 2013, what demonstrates high relevance to the network management community and the security specialists.
Original language | Undefined |
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Title of host publication | Proceedings of 33rd Brazilian Symposium on Computer Networks and Distributed Systems, SBRC 2015 |
Place of Publication | Brazil |
Publisher | Brazilian Computer Society (SBC) |
Pages | 445-458 |
Number of pages | 14 |
ISBN (Print) | 2177-496X |
Publication status | Published - May 2015 |
Event | 33rd Brazilian Symposium on Computer Networks and Distributed Systems, SBRC 2015 - Vitoria, Brazil Duration: 18 May 2015 → 22 May 2015 Conference number: 33 |
Publication series
Name | |
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Publisher | Brazilian Computer Society (SBC) |
ISSN (Print) | 2177-496X |
Conference
Conference | 33rd Brazilian Symposium on Computer Networks and Distributed Systems, SBRC 2015 |
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Abbreviated title | SBRC |
Country/Territory | Brazil |
City | Vitoria |
Period | 18/05/15 → 22/05/15 |
Other | (Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos) |
Keywords
- EWI-26162
- METIS-312680
- IR-96841