Chinese Journal of Network and Information Security ›› 2016, Vol. 2 ›› Issue (6): 54-57.doi: 10.11959/j.issn.2096-109x.2016.00058

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Unknown attack detection model based on network behavior analysis

Yi-han YU(),Yu FU,Xiao-ping WU   

  1. Department of Information Security,Naval University of Engineering,Wuhan 430033,China
  • Revised:2016-04-17 Online:2016-06-15 Published:2020-03-26
  • Supported by:
    The National Natural Science Foundation of China(61100042);The Natural Science Foundation of Hubei Province(2015CFC867);The National Defense Key Laboratory of Information Security Technology(KJ-13-111)

Abstract:

As for the intranet security threats of the increasing number of unknown attacks,an unknown attack detection model based on network behavior analysis was proposed.With the help of the information resources within the intranet,firstly,the information resources of the intranet were collected,then the risk factors of abnormal behav-ior of the internet information node were analyzed,finally,the information node and the information resources ac-quisition path as the key element were used to construct the detection model of the directed graph.By verifying,the model can achieve the desired detection results.

Key words: intranet behavior, unknown attacks, directed graph, detection model

CLC Number: 

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