Enhancing Security Through Generative AI-Based Authentication

View Sample PDF

Author(s): Qurat-ul Ain Zam Zam (Department of Computer Science, International Islamic University, Islamabad, Pakistan), Humaira Ashraf (Taylor's University, Malaysia), N. Z. Jhanjhi (Taylor's University, Malaysia), Atta Ullah (National University of Modern Languages, Pakistan)and Fathi Amsaad (Wright State University, USA)
Copyright: 2025
Pages: 22
Source title: Utilizing Generative AI for Cyber Defense Strategies
Source Author(s)/Editor(s): Noor Zaman Jhanjhi (Taylor's University, Malaysia)
DOI: 10.4018/979-8-3693-8944-7.ch005

Keywords: Artificial Intelligence / Computer Science & IT / Cyber and Network Security / Information Science Reference

Purchase

View Enhancing Security Through Generative AI-Based Authentication on the publisher's website for pricing and purchasing information.

Abstract

The digital age has evolved to the point where it requires solutions for data protection and user verification from companies that operate in different areas. Some widely known traditional authentication methods, like passwords and biometrics, despite their high security, might be subject to spoofing and phishing attacks. This study focuses on an AI-reliant security improvement strategy as a means to deal with the challenges listed above. The way of artificially creating new data by using machine learning algorithms, which are extremely close to the original data sets is called “generative AI.” By using the approaches of generative artificial intelligence (AI), GAIBA, the multi-layered authentication process which can adapt to emerging security threats, is developed. This study presents the employ of AI in authentication techniques and security protocols with its utilities and contributions.

The IRMA Community

Research IRM

Enhancing Security Through Generative AI-Based Authentication

Purchase

Abstract

Related Content

IRMA Sponsors