DocumentCode :
3095286
Title :
A Proposal for Detecting Distributed Cyber-Attacks Using Automatic Thresholding
Author :
Feng, Yaokai ; Hori, Yoshiaki ; Sakurai, Kouichi
Author_Institution :
Grad. Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Kyushu, Japan
fYear :
2015
fDate :
24-26 May 2015
Firstpage :
152
Lastpage :
159
Abstract :
Distributed attacks have reportedly caused the most serious losses in the modern cyber environment. Thus, how to avoid and detect distributed attacks has become one of the most important topics in the cyber security community. Of many approaches for avoiding and detecting cyber-attacks, behavior-based method has been attracting great attentions from many researchers and developers. It is well known that, for behavior-based cyber-attack detections, the algorithm for extracting normal modes from historic traffic is critically important. In this paper, after the newest algorithms for extracting normal behavior mode from historic traffics are discussed, a novel algorithm is proposed. Its efficiency is examined by experiments using dark net traffic data.
Keywords :
security of data; automatic thresholding; cyber security community; darknet traffic data; distributed cyber-attacks detection; historic traffic; modern cyber environment; Asia; Information security; Joints; Anomaly detection; Behavior-based Detection; Cyber attacks; Frequency distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Security (AsiaJCIS), 2015 10th Asia Joint Conference on
Conference_Location :
Kaohsiung
Type :
conf
DOI :
10.1109/AsiaJCIS.2015.22
Filename :
7153950
Link To Document :
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