Akram Al-Rumaim

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2023

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Revolutionizing Authentication: Harnessing Natural Language Understanding for Dynamic Password Generation and Verification
Akram Al-Rumaim | Jyoti D. Pawar
Proceedings of the 20th International Conference on Natural Language Processing (ICON)

In our interconnected digital ecosystem, API security is paramount. Traditional static password systems once used for API authentication, face vulnerabilities to cyber threats. This paper explores Natural Language Understanding (NLU) as a tool for dynamic password solutions, achieving 49.57% accuracy. It investigates GPT-2 for dynamic password generation and innovative NLU-based verification using a set of specific criteria and threshold adjustments. The study highlights NLU’s benefits, challenges, and prospects in enhancing API security. This approach is a significant stride in safeguarding digital interfaces amidst evolving Cyber Security threats. Keywords: Cyber Security, Authentication, API Security, Generative AI, Dynamic Passwords, Passwords Verification, NLU
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