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Tapan Kumar Jha
Riddhi Soral
Keywords:
Virtual Penetration Testing, Web Application Security, Automated Security Testing, Model-Driven Penetration Testing, AI-based Penetration Testing, Cybersecurity.
Abstract:
Web applications have become fundamental components of the modern digital ecosystem, facilitating communication, commerce, and data exchange. However, their growing complexity and interconnectivity have made them prime targets for cyber-attacks. Traditional penetration testing methods, although effective, are often manual, time-consuming, and inconsistent. In response, Virtual Penetration Testing (VPT) has emerged as a next-generation solution that leverages automation, artificial intelligence (AI), and model-driven engineering to perform continuous, scalable, and efficient security assessments. This review explores the evolution of VPT, its methodologies, and implementation frameworks. Drawing from prominent research, especially the work by Shilpa R. G. et al. (2024), this paper dissects various approaches to VPT, comparing their architectures, advantages, limitations, and effectiveness. The literature review highlights the state-of-the-art developments in VPT, while comparative analysis underscores the key differentiators. Additionally, the paper outlines previous methodologies, summarizes empirical findings, and identifies potential areas for enhancement. Through comprehensive analysis and structured presentation, this study contributes a detailed perspective on VPT as a transformative force in securing web applications.
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International Journal of Recent Research and Review
ISSN: 2277-8322
Vol. XVIII, Issue 1
March 2025
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PUBLISHED
March 2025
ISSUE
Vol. XVIII, Issue 1
SECTION
Articles
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