This paper is published in Volume-11, Issue-1, 2025
Area
Quantum Cryptography, Machine Learning And Deep Learning
Author
Dr. M.K. Jayanthi Kannan, Abir Barman, Anjali Yadav, Samikshya Pruseth, Santosini Sahu
Org/Univ
Professor, School of Computing Science Engineering and Artificial Intelligence, VIT Bhopal University, Bhopal-Indore Highway, Kothrikalan, Sehore, Madhya Pradesh – 466114., India
Keywords
Security Framework, Cybersecurity Threats, Kyber for Key Exchange, Dilithium for Digital Signatures, NTRU For Encryption, Post-Quantum Cryptographic Algorithms,
Citations
IEEE
Dr. M.K. Jayanthi Kannan, Abir Barman, Anjali Yadav, Samikshya Pruseth, Santosini Sahu. LogiX: AI-Driven Secure Login System with Quantum-Resistant Algorithms and Multi-Factor Authentication, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Dr. M.K. Jayanthi Kannan, Abir Barman, Anjali Yadav, Samikshya Pruseth, Santosini Sahu (2025). LogiX: AI-Driven Secure Login System with Quantum-Resistant Algorithms and Multi-Factor Authentication. International Journal of Advance Research, Ideas and Innovations in Technology, 11(1) www.IJARIIT.com.
MLA
Dr. M.K. Jayanthi Kannan, Abir Barman, Anjali Yadav, Samikshya Pruseth, Santosini Sahu. "LogiX: AI-Driven Secure Login System with Quantum-Resistant Algorithms and Multi-Factor Authentication." International Journal of Advance Research, Ideas and Innovations in Technology 11.1 (2025). www.IJARIIT.com.
Dr. M.K. Jayanthi Kannan, Abir Barman, Anjali Yadav, Samikshya Pruseth, Santosini Sahu. LogiX: AI-Driven Secure Login System with Quantum-Resistant Algorithms and Multi-Factor Authentication, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Dr. M.K. Jayanthi Kannan, Abir Barman, Anjali Yadav, Samikshya Pruseth, Santosini Sahu (2025). LogiX: AI-Driven Secure Login System with Quantum-Resistant Algorithms and Multi-Factor Authentication. International Journal of Advance Research, Ideas and Innovations in Technology, 11(1) www.IJARIIT.com.
MLA
Dr. M.K. Jayanthi Kannan, Abir Barman, Anjali Yadav, Samikshya Pruseth, Santosini Sahu. "LogiX: AI-Driven Secure Login System with Quantum-Resistant Algorithms and Multi-Factor Authentication." International Journal of Advance Research, Ideas and Innovations in Technology 11.1 (2025). www.IJARIIT.com.
Abstract
LogiX is a next-generation authentication and security framework designed to withstand emerging cybersecurity threats, including those posed by quantum computing. The system integrates Post-Quantum Cryptographic Algorithms such as Kyber for Key Exchange, Dilithium for Digital Signatures, and NTRU For Encryption To Ensure Robust Data Protection. Additionally, Advanced AI-driven techniques are Employed for Anomaly Detection, Credential Sharing Analysis, Adaptive Multi-Factor Authentication (MFA), and Phishing De-Detection. By leveraging secure authentication protocols, quantum-resistant cryptographic standards, and intelligent monitoring systems, LogiX provides a comprehensive security solution that mitigates risks associated with traditional and quantum-era cyber threats. This documentation outlines the foundational principles, methodologies, and implementation strategies used to fortify authentication mechanisms and protect sensitive user data in cloud-based environments.