Work

Leveraging Irreducibility Theory for Secure Cryptographic Key Generation in AI API Systems

Year: 2025

Type: article

Abstract: This research explores how irreducibility theory—particularly Dr. Sudesh Khanduja’s generalized criteria—can be applied to generate more secure cryptographic keys for API communication in AI systems. A practical framework is proposed for key generation using advanced irreducibility tests, enhancing security in applications like federated learning and cloud AI. This work bridges abstract algebra with modern cybersecurity needs in artificial intelligence and offers a new direction for encryption robustness in the era of intelligent systems.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15544303

Author: Makkar, yash

Institution: Chitkara University

Language: English

Topic: Cryptography and Data Security

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6893324289

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