NEXT-GEN PASSWORD SECURITY: ENCRYPTED NEGATIVE PASSWORD AUTHENTICATION FRAMEWORK

Authors

  • Kim Jungkook Author
  • Jung Seok Lee Author

DOI:

https://doi.org/10.64751/

Keywords:

Encrypted Negative Password, Symmetric key algorithm, Hashed password

Abstract

The increasing prevalence of cyberattacks has exposed vulnerabilities in conventional password-based authentication systems, making robust security mechanisms essential for safeguarding sensitive data. This study presents a novel framework for secure password authentication utilizing encrypted negative passwords—a technique that stores complementary (negative) representations of passwords rather than the original credentials. By encrypting these negative passwords and integrating them into the authentication process, the system mitigates risks associated with password theft, brute-force attacks, and database breaches. The proposed framework combines cryptographic techniques with adaptive verification protocols to ensure high security while maintaining usability. Experimental evaluations demonstrate that the framework effectively resists common attack vectors, reduces the probability of unauthorized access, and maintains computational efficiency. The findings indicate that encrypted negative password authentication provides a promising direction for next-generation secure login systems.

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Published

01-09-25

How to Cite

Kim Jungkook, & Jung Seok Lee. (2025). NEXT-GEN PASSWORD SECURITY: ENCRYPTED NEGATIVE PASSWORD AUTHENTICATION FRAMEWORK. American Journal of AI Cyber Computing Management, 5(3), 29-33. https://doi.org/10.64751/