A Stochastic Adaptive Model to Explore Mobile Botnet Dynamics
Santos, A. S.
; Nogueira, M.
; Moura, J.
IEEE Communications Letters Vol. 21, Nº 4, pp. 753 - 756, April, 2017.
ISSN (print): 1089-7798
ISSN (online): 1558-2558
Scimago Journal Ranking: 0,59 (in 2017)
Digital Object Identifier: 10.1109/LCOMM.2016.2637367
Abstract
Mobile botnets have proliferated with the popularization of mobile and portable devices, being a simple and powerful method to launch Distributed Denial of Service (DDoS) attacks. This letter presents a stochastic adaptive model for mobile botnets' dynamics and their self-organized and self-adaptive behavior to generate DDoS attacks. The bots' collaborations combine reinforcement and fading rules based upon the level of servers' activity and map to a time-varying weighted directed graph. This model can explain the natural emergence of two distinct time-scales when bots massively attack a server.
