Study of Blended Learning of Artificial Intelligence in Cybersecurity


Year : 2023 | Volume :01 | Issue : 02 | Page : 1-6
    By

    B.N. Manjunatha,

  • J. Ananda Babu,

  • M.S. Rekha,

  • 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. Student, Department of Computer Science and Engineering, R.L. Jalappa Institute of Technology, Doddaballapur, Karnataka, India

Abstract

Nowadays there are huge applications of internet of things, and cyberattacks are causing concern all over world. To avoid cyberattacks, designing cybersecurity approach is today’s basic need. Artificial intelligence has appeared as a powerful tool in the domain of cybersecurity and can be tuned to deal with cybersecurity and cyberthreats. Cybersecurity is an incredibly growing field since the past decade, there are many applications based on cybersecurity, eventually threats are accelerating. The paper will deliberate about the utilization of artificial intelligence and implementation in cybersecurity and annotate on the disadvantages.

Keywords: Artificial intelligence, cybersecurity, cyberthreats, block chain

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

aad2df65 figure 1. ai in cybersecurity
How to cite this article:
B.N. Manjunatha, J. Ananda Babu, M.S. Rekha, Shreya Kulkarni. Study of Blended Learning of Artificial Intelligence in Cybersecurity. International Journal of Information Security Engineering. 2023; 01(02):1-6.
How to cite this URL:
B.N. Manjunatha, J. Ananda Babu, M.S. Rekha, Shreya Kulkarni. Study of Blended Learning of Artificial Intelligence in Cybersecurity. International Journal of Information Security Engineering. 2023; 01(02):1-6. 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 20/07/2023
Accepted 30/07/2023
Published 30/10/2023
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