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ct 21(28): e3

Research Article

The future of Artificial Intelligence in Cybersecurity: A Comprehensive Survey

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  • @ARTICLE{10.4108/eai.7-7-2021.170285,
        author={Feng Tao and Muhammad Shoaib Akhtar and Zhang Jiayuan},
        title={The future of Artificial Intelligence in Cybersecurity: A Comprehensive Survey},
        journal={EAI Endorsed Transactions on Creative Technologies},
        volume={8},
        number={28},
        publisher={EAI},
        journal_a={CT},
        year={2021},
        month={7},
        keywords={AI, Cybersecurity, ML, DL},
        doi={10.4108/eai.7-7-2021.170285}
    }
    
  • Feng Tao
    Muhammad Shoaib Akhtar
    Zhang Jiayuan
    Year: 2021
    The future of Artificial Intelligence in Cybersecurity: A Comprehensive Survey
    CT
    EAI
    DOI: 10.4108/eai.7-7-2021.170285
Feng Tao1,*, Muhammad Shoaib Akhtar1, Zhang Jiayuan1
  • 1: School of Computer and Communications, Lanzhou University of Technology, Gansu, China
*Contact email: Fengt@lut.cn

Abstract

AI in Cybersecurity Market scheme helps organizations in observance, detecting, reporting, and countering cyber threats to keep up information confidentiality. The increasing awareness among folks, advancements in info technology, up-gradation of intelligence and police work solutions, and increasing volume of knowledge gathered from numerous sources have demanded the utilization of reliable and improved cybersecurity solutions all told industries. The increase in the incidence and quality of cyber-attacks is driving AI-enabled cyber systems. Increasing incidents of huge cyber-attacks globally have created awareness among organizations for securing their information. The motive behind these cyber-criminals are political competition, competitors move for gain and harming the name of others, international information theft, and radical non-secular cluster interest. Most cyber-attacks are for gain. In this review we have presented some previous studies related to Cybersecurity which involves AI.

Keywords
AI, Cybersecurity, ML, DL
Received
2021-05-06
Accepted
2021-07-05
Published
2021-07-07
Publisher
EAI
http://dx.doi.org/10.4108/eai.7-7-2021.170285

Copyright © 2021 Feng Tao et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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