Measuring and analyzing trends in recent distributed denial of service attacks

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Abstract

Internet DDoS attacks are prevalent but hard to defend against, partially due to the volatility of the attacking methods and patterns used by attackers. Understanding the latest of DDoS attacks can provide new insights for effective defense. But most of existing understandings are based on indirect traffic measures (e.g., backscatters) or traffic seen locally (e.g., in an ISP or from a botnet). In this study, we present an in-depth study based on 50,704 different Internet DDoS attacks directly observed in a seven-month period. These attacks were launched by 674 botnets from 23 different botnet families with a total of 9026 victim IPs belonging to 1074 organizations in 186 countries. In this study, we conduct some initial analysis mainly from the perspectives of these attacks’ targets and sources. Our analysis reveals several interesting findings about today’s Internet DDoS attacks. Some highlights include: (1) while 40% of the targets were attacked only once, 20% of the targets were attacked more than 100 times (2) most of the attacks are not massive in terms of number of participating nodes but they often last long, (3) most of these attacks are not widely distributed, but rather being highly regionalized. These findings add to the existing literature on the understanding of today’s Internet DDoS attacks, and offer new insights for designing effective defense schemes at different levels.

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APA

Wang, A., Mohaisen, A., Chang, W., & Chen, S. (2017). Measuring and analyzing trends in recent distributed denial of service attacks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10144 LNCS, pp. 15–28). Springer Verlag. https://doi.org/10.1007/978-3-319-56549-1_2

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