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CLC number: TP309

On-line Access: 2019-01-07

Received: 2018-09-16

Revision Accepted: 2018-12-13

Crosschecked: 2018-12-24

Cited: 0

Clicked: 4093

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Jian-hua Li

http://orcid.org/0000-0002-6831-3973

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Frontiers of Information Technology & Electronic Engineering  2018 Vol.19 No.12 P.1462-1474

http://doi.org/10.1631/FITEE.1800573


Cyber security meets artificial intelligence: a survey


Author(s):  Jian-hua Li

Affiliation(s):  School of Cyber Security, Shanghai Jiao Tong University, Shanghai 200240, China

Corresponding email(s):   lijh888@sjtu.edu.cn

Key Words:  Cyber security, Artificial intelligence (AI), Attack detection, Defensive techniques


Jian-hua Li. Cyber security meets artificial intelligence: a survey[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(12): 1462-1474.

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doi="10.1631/FITEE.1800573"
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Abstract: 
There is a wide range of interdisciplinary intersections between cyber security and artificial intelligence (AI). On one hand, AI technologies, such as deep learning, can be introduced into cyber security to construct smart models for implementing malware classification and intrusion detection and threating intelligence sensing. On the other hand, AI models will face various cyber threats, which will disturb their sample, learning, and decisions. Thus, AI models need specific cyber security defense and protection technologies to combat adversarial machine learning, preserve privacy in machine learning, secure federated learning, etc. Based on the above two aspects, we review the intersection of AI and cyber security. First, we summarize existing research efforts in terms of combating cyber attacks using AI, including adopting traditional machine learning methods and existing deep learning solutions. Then, we analyze the counterattacks from which AI itself may suffer, dissect their characteristics, and classify the corresponding defense methods. Finally, from the aspects of constructing encrypted neural network and realizing a secure federated deep learning, we expatiate the existing research on how to build a secure AI system.

网络安全遇上人工智能:综述

摘要:网络安全与人工智能技术有着广泛的交叉。一方面,可以将人工智能技术(如深度学习)引入网络安全领域,构建智能模型,实现恶意代码检测、入侵检测和威胁情报感知等。另一方面,人工智能模型面临针对样本、学习过程和决策等的各种威胁。因此,人工智能模型需要网络安全防护技术来对抗各类攻击,实现隐私保护机器学习以及安全的联合深度学习等。本文对人工智能与网络安全交叉研究进行综述,首先总结现有利用人工智能技术对抗网络攻击的研究工作,包括采用传统机器学习技术和深度学习技术在对抗网络攻击方面的应用和效果。然后总结和分析人工智能会遭受的对抗攻击,对现有针对对抗攻击的防御方式进行归类,分析各自特点。最后,从构建加密神经网络和实现安全联合深度学习两个方面阐述现有工作中构建安全人工智能系统的方案。

关键词:网络安全;人工智能;攻击监测;防御技术

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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