The Use of Artificial Intelligence for the Intrusion Detection System in Computer Networks

被引：0

作者：

Yip Ortuno, Santiago ^{[1
]}

Hernandez Aguilar, Jose Alberto ^{[1
,3
]}

Taboada, Blanca ^{[2
]}

Ochoa Ortiz, Carlos Alberto ^{[3
]}

Perez Ramirez, Miguel ^{[3
]}

Arroyo Figueroa, Gustavo ^{[3
]}

机构：

[1] Autonomous Univ Morelos State, Ave Univ 1001, Cuernavaca 62209, Morelos, Mexico

[2] IBT UNAM, Ave Univ 1001, Cuernavaca, Morelos, Mexico

[3] Natl Inst Elect & Clean Energies INEEL, Reforma 113, Cuernavaca 62490, Morelos, Mexico

来源：

ADVANCES IN SOFT COMPUTING, MICAI 2017, PT I | 2018年 / 10632卷

关键词：

Artificial immune system; ClonalG; J48; Intrusion detection system; Security model;

D O I：

10.1007/978-3-030-02837-4_25

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We discuss the application of Artificial Intelligence for the design of intrusion detection systems (IDS) applied on computer networks. For this purpose, we use J48 rand Clonal-G [5] immune artificial system Algorithms, in WEKA software, with the purpose to classify and predict intrusions in KDD-Cup 1999 and Kyoto 2006 databases. We obtain for the KDD-Cup 1999 database 92.69% for ClonalG and 99.91% of precision for J48 respectively. For the Kyoto University 2006 database, we obtain 95.2% for ClonalG and 99.25% of precision for J48. Finally, based on these results we propose a model to detect intrusions using AI techniques. The main contribution of the paper is the adaptability of the CLONAL-G Algorithm and the reduction of database attributes by using Genetic Search.

引用

页码：302 / 312

页数：11

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