Based on Hurst Parameter Estimation DoS Detection

2013 ◽  
Vol 303-306 ◽  
pp. 2325-2328
Author(s):  
Heng Shu

Most researches regard the real traffic has self_similarity,so traditional model based passion or Markov can’t adapt to the real traffic.In order to resolve these problems,the estimation is used based on Hurst parameter to detect DoS attack,researching on the affect of Hurst paramerter change brought by DoS attack,By analyzing the 1998 DARPA intrusion detection evaluation dataset show that this method detect DoS attack,and is more reliable on the recognition of all kinds of DoS attack than any other method based on measure precision.

2014 ◽  
Vol 602-605 ◽  
pp. 1908-1911
Author(s):  
Qing Tian ◽  
Jun Ling Zhu

Based on the data source problems of intrusion detection evaluation and the feature of OpenFlow capable of providing flexible network control, this paper studies the real data evaluation model based on the software-defined network, and makes program implementation over the model-based intrusion detection evaluation system, and then uses the network to simulate this model. The experimental result shows that the model is feasible and effective.


2021 ◽  
Vol 54 (6) ◽  
pp. 244-250
Author(s):  
Viktoria Kleyman ◽  
Manuel Schaller ◽  
Mitsuru Wilson ◽  
Mario Mordmüller ◽  
Ralf Brinkmann ◽  
...  

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