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An Adaptive Cryptography Using OpenAI API: Dynamic Key Management Using Self Learning AI
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Author(s): R. Valarmathi (Sri Sairam Engineering College, India), R. Uma (Sri Sairam Engineering College, India), P. Ramkumar (Sri Sairam College of Engineering, India)and Srivatsan Venkatesh (Sri Sairam Engineering College, India)
Copyright: 2024
Pages: 20
Source title:
Innovative Machine Learning Applications for Cryptography
Source Author(s)/Editor(s): J. Anitha Ruth (SRM Institute of Science and Technology, Vadapalani, India), G.V. Mahesh Vijayalakshmi (BMS Institute of Technology and Management, India), P. Visalakshi (Department of Networking and Communications, College of Engineering and Technology, SRM Institute of Science and Technology, Katankulathur, India), R. Uma (Sri Sairam Engineering College, Chennai, India)and A. Meenakshi (SRM Institute of Science and Technology, Vadapalani, India)
DOI: 10.4018/979-8-3693-1642-9.ch004
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Abstract
Security functions which are present now, such as the SHA series of hash functions, other brute force prevention protocols, and much more, are keeping our cyber fields safe from any script-kiddies and professional hackers. But the recent study shows that penetration tools are optimised in numerous ways, enabling the hackers to take in a big advantage over our key logging and brute forcing prevention tactics, allowing them to make a clean hit over the fragile databases. Many of the existing domains now are optimised with the added benefit of artificial intelligence support. Specifically, the OpenAI API market has grown plentiful of their uses, and the password hash automation now has a time to get upgraded.
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