A Method Using Information Gain and Naive Bayes to Extract Network Situation Information

doi:10.3969/j.issn.1671-1122.2017.09.013

Netinfo Security ›› 2017, Vol. 17 ›› Issue (9): 54-57.doi: 10.3969/j.issn.1671-1122.2017.09.013

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A Method Using Information Gain and Naive Bayes to Extract Network Situation Information

Ben QI(), Mengdi WANG

College of Information Technology and Network Security, People’s Public Security University of China, Beijing 100038, China

Received:2017-08-01 Online:2017-09-20 Published:2020-05-12

Abstract

Abstract:

Network security situational factors of extraction exist some problems in reduction and classification. We collect network data to obtain the strong correlation between situational factors through setting up right value. Through the improvement of naive bayesian analysis, the detection of malicious attack was realized. This paper tries to experiment with the intrusion detection data set, and compares the traditional method to the better effect.

Key words: situational awareness, situational extraction, Naive Bayes, information gain

CLC Number:

TP393

Ben QI, Mengdi WANG. A Method Using Information Gain and Naive Bayes to Extract Network Situation Information[J]. Netinfo Security, 2017, 17(9): 54-57.

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References 9

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A Method Using Information Gain and Naive Bayes to Extract Network Situation Information

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