Poster
8 June 2024 Web app security: comparative insights on automated penetration testing
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Conference Poster
Abstract
In the digital age, web apps are vital for global communication and commerce, necessitating robust security measures. This study delves into Automated Web Application Penetration Testing (AWAPT) tools, assessing their effectiveness against the complexities of modern web technologies. It highlights the critical need for a nuanced analysis of these tools, considering their adaptability, accuracy, coverage, ease of use, and flexibility. The aim is to offer practical advice for selecting appropriate tools for diverse web applications, addressing the increasing cyber threats and reliance on web apps. The paper identifies a gap in aligning current tools with advanced web technologies and the lack of comprehensive evaluations, posing risks to web app security. It calls for future research on evolving technologies, tool effectiveness, and advanced techniques like AI to enhance tool robustness against new threats. The study's comparative analysis seeks to benchmark tool performance, identifying strengths and weaknesses to improve their effectiveness in securing web applications against modern challenges.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Harsh Rathod, Navaneeth Shivananjappa, and Reiner M. Creutzburg "Web app security: comparative insights on automated penetration testing", Proc. SPIE 13033, Multimodal Image Exploitation and Learning 2024, 130330P (8 June 2024); https://doi.org/10.1117/12.3029743
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KEYWORDS
Information security

Analytical research

Artificial intelligence

Computer security

Data communications

Machine learning

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