航空网络安全的机器学习方法

2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-03 DOI:10.1109/EIT.2018.8500165

A. R. Taleqani, K. Nygard, R. Bridgelall, J. Hough

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引用次数: 10

摘要

本文描述了一组现实世界中航空业潜在的网络威胁。在这种情况下，各种机器学习方法可用于解决安全问题。鉴于网络威胁的数量不断增加，机器学习已成为识别和防范此类威胁的一种有前途的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Machine Learning Approach to Cyber Security in Aviation

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.

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来源期刊

2018 IEEE International Conference on Electro/Information Technology (EIT)

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