Study of Blended Learning of Artificial Intelligence in Cyber Security

Year : 2023 | Volume : 01 | Issue : 02 | Page : 1-7
By

    Manjunatha B.N.

  1. Ananda Babu J.

  2. M.S. Rekha

  3. Shreya Kulkarni

  1. Associate Professor, Department of Computer Science and Engineering, R.L Jalappa Institute of Technology, Doddaballapur, Karnataka, India
  2. Associate Professor, Department of Information Science and Engineering, Malnad College of Engineering, Hassan, Karnataka, India
  3. Assistant Professor, Department of Computer Science and Engineering, R.L. Jalappa Institute of Technology, Doddaballapur, Karnataka, India
  4. UG Student, Department of Computer Science and Engineering, R.L. Jalappa Institute of Technology, Doddaballapur, Karnataka, India

Abstract

Nowadays there are huge applications of IOT, cyberattack is extremely affecting all over world. To avoid cyberattacks, designing cyber security approach is today’s basic need. Artificial Intelligence (AI) has appeared as a powerful tool in the domain of cyber-security and can be accustomed to deal with cyber-security and cyber-threats. Cyber security is an incredibly growing field since last decade, there are many applications based on cybersecurity, eventually threats are accelerating. The paper will deliberate about the utilization of AI and implementation in cyber-security and annotate on the disadvantages.

Keywords: Artificial intelligence, cyber security, cyber- threats, block chain

[This article belongs to International Journal of Information Security Engineering(ijise)]

How to cite this article: Manjunatha B.N., Ananda Babu J., M.S. Rekha, Shreya Kulkarni Study of Blended Learning of Artificial Intelligence in Cyber Security ijise 2023; 01:1-7
How to cite this URL: Manjunatha B.N., Ananda Babu J., M.S. Rekha, Shreya Kulkarni Study of Blended Learning of Artificial Intelligence in Cyber Security ijise 2023 {cited 2023 Aug 23};01:1-7. Available from: https://journals.stmjournals.com/ijise/article=2023/view=124858/

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Regular Issue Subscription Review Article
Volume 01
Issue 02
Received July 20, 2023
Accepted July 30, 2023
Published August 23, 2023
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