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A Data-Driven Study of DDoS Attacks and Their Dynamics.

, , , and . IEEE Trans. Dependable Secur. Comput., 17 (3): 648-661 (2020)

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A Data-Driven Study of DDoS Attacks and Their Dynamics., , , and . IEEE Trans. Dependable Secur. Comput., 17 (3): 648-661 (2020)Sampling-based program locality approximation., and . ISMM, page 91-100. ACM, (2008)Capturing DDoS Attack Dynamics Behind the Scenes., , , and . DIMVA, volume 9148 of Lecture Notes in Computer Science, page 205-215. Springer, (2015)ExtensionGuard: Towards runtime browser extension information leakage detection., and . CNS, page 154-162. IEEE, (2016)Measuring and Analyzing Trends in Recent Distributed Denial of Service Attacks., , , and . WISA, volume 10144 of Lecture Notes in Computer Science, page 15-28. (2016)Defeat Information Leakage from Browser Extensions via Data Obfuscation., and . ICICS, volume 8233 of Lecture Notes in Computer Science, page 33-48. Springer, (2013)Measuring Botnets in the Wild: Some New Trends., , , and . AsiaCCS, page 645-650. ACM, (2015)Understanding Adversarial Strategies from Bot Recruitment to Scheduling., , , and . SecureComm, volume 238 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 397-417. Springer, (2017)POSTER: How Distributed Are Today's DDoS Attacks?, , , and . ACM Conference on Computer and Communications Security, page 1511-1513. ACM, (2014)Characterizing botnets-as-a-service., , , and . SIGCOMM, page 585-586. ACM, (2014)