Characterizing flash events and distributed denial-of-service attacks: an empirical investigation

摘要: In the information age where Internet is most important means of delivery plethora services, distributed denial-of-service DDoS attacks have emerged as one serious threat. Strategic, security, social, and financial implications these ceaselessly alarmed entire cyber community. To obviate a attack mitigate its impact, there an irrevocable prerequisite to accurately detect them promptly. An inherent challenge in addressing this issue efficiently distinguish from characteristically analogous flash events FEs which are bona fide occurrences generated by legitimate users. Most studies focused on finding out unique characteristics isolation, with peril false alarms heuristically. preclude this, it pertinent fundamentally focus identifying FE vis-a-vis ab initio has been basis work. The aim paper formulate taxonomy compare segregate using several empirical metrics. Real emulation datasets used validate both. extensive analysis study establishes that numerous technical dissimilarities can be exploited separate similar looking events. Copyright © 2016 John Wiley & Sons, Ltd.