Designing a Framework for AI-Based User Authentication System through Behaviour Monitoring

Authors

  • Praveen Kumar Chandapeta Dr. A. P. J. Abdul Kalam University, Indore, M. P, India
  • Ajay Raundale Dr. A. P. J. Abdul Kalam University, Indore, M. P, India

Keywords:

Cybersecurity, assets, behaviour, authenticated, tested

Abstract

In the ever-changing cybersecurity landscape, Behavior Identification has emerged as an essential aspect of protecting any digital assets. In recent years, authentication techniques have shifted to a multi-factor verification procedure. This involves proving a user's identity through many complimentary elements, which improves system security. The popularity of smart gadgets, including phones, tablets, and watches, enabled this growth. Smart devices can give a confirmation code to reinforce the primary authentication factor, often based on a user/password. Companies are looking for novel ways to improve their identification policies as data breaches and complex cyber threats become more prevalent. Designing a system with behavior identification is the need of today’s hour. To detect imposters when an authenticated session is hijacked in a real-world, or to identify the imposter in a continuous authentication method was designed and tested, and a rejection test was finally carried out.

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Published

24.03.2024

How to Cite

Chandapeta , P. K. ., & Raundale , A. . (2024). Designing a Framework for AI-Based User Authentication System through Behaviour Monitoring . International Journal of Intelligent Systems and Applications in Engineering, 12(19s), 99–105. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5049

Issue

Vol. 12 No. 19s (2024)

Section

Research Article

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