A Particle Filter-Based Approach for Effectively Detecting Low-Rate Denial of Service Attacks

2016 ◽  
Author(s):  
Zhijun Wu ◽  
Jiang Jun ◽  
Yue Meng
Keyword(s):  
Particle Filter ◽  
Denial Of Service ◽  
Denial Of Service Attacks ◽  
Low Rate

RRED: robust RED algorithm to counter low-rate denial-of-service attacks

2010 ◽  
Vol 14 (5) ◽  
pp. 489-491 ◽  
Author(s):  
Changwang Zhang ◽  
Jianping Yin ◽  
Zhiping Cai ◽  
Weifeng Chen
Keyword(s):  
Denial Of Service ◽  
Denial Of Service Attacks ◽  
Low Rate

scholarly journals A Mathematical Model for Randomly-Occurring Low-Rate Denial of Service Attacks

2014 ◽  
pp. 27-31
Author(s):  
Nahush Chaturvedi ◽  
Hrushikesha Mohanty
Keyword(s):  
Mathematical Model ◽  
Continuous Time ◽  
Transmission Control Protocol ◽  
Denial Of Service ◽  
Denial Of Service Attacks ◽  
Continuous Time Markov Chain ◽  
Dos Attacks ◽  
Transmission Control ◽  
Abnormal State ◽  
Low Rate

Low rate attacks, or Denial-of-Service (DoS) attacks of the occasional misbehaviour, can throttle the throughput of robust timed-protocols, like the Transmission Control Protocol(TCP), by creating either periodic or exponentially distributed outages, or transmission disruptions. Such attacks are as effective as full-fledged DoS with high undetectability of the misbehaving network entity. In this paper, we present a mathematical model of Low-Rate. randomly occurring, Denial-of-Service attacks. By viewing the process as a twostate Continuous-Time Markov Chain(CTMC), we have successfully computed the transition and state probabilities of a compromised network entity that can behave normally, while in the normal state. and abnormally, when in the abnormal state.

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