Machine Learning Approach to Cyber Security in Aviation

被引：0

作者：

Talegani, Ali Rahim ^{[1
]}

Nygard, Kendall E. ^{[2
]}

Bridgelall, Raj ^{[1
]}

Hough, Jill ^{[1
]}

机构：

[1] North Dakota State Univ, Upper Great Plains Transportat Inst, Fargo, ND 58105 USA

[2] North Dakota State Univ, Dept Comp Sci, Fargo, ND USA

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY (EIT) | 2018年

关键词：

cybersecurity; aviation; machine learning; big data;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper describes a set of real-world potential cyber threats in the aviation industry. Various Machine Learning approaches are available to address security issues in this context. Given the growing number of cyber threats, machine learning has become a promising approach to identify and immunize against such threats.

引用

页码：147 / 152

页数：6

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