Zero Day Attack Detection System Using Ai with Multifactor Authentication

Ramya S; Revathi S; Rathisha M; Sandhiya S; Subashinni K

doi:10.59256/ijsreat.20260602029

Original Article

Zero Day Attack Detection System Using Ai with Multifactor Authentication

Paper ID 304
Volume 6, Issue 2
Pages 232-238
Published Online: March-April 2026
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Authors

Ramya S¹
Revathi S²
Rathisha M³
Sandhiya S⁴
Subashinni K⁵

¹ Assistant Professor, Department of Information Technology, Er. Perumal Manimekalai College of Engineering Hosur, Tamil Nadu, India. ² ³ ⁴ ⁵ B.Tech. Department of Information Technology, Er. Perumal Manimekalai College of Engineering Hosur, Tamil Nadu, India.

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Article Information

DOI: https://www.doi.org/10.59256/ijsreat.20260602029
Published In: Volume 6, Issue 2 (2026)
Published Online: March-April 2026
Pages: 232-238
Article Type: Original Article
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References

1. Zero-Day Attack Detection using Machine Learning (2021) by A. Kumar; R. Singh; P. Sharma
2. Anomaly Detection using Isolation Forest (2019) by F. T. Liu; K. M. Ting; Z. Zhou
3. Artificial Intelligence in Intrusion Detection Systems (2020) by J. Park; M. Lee; S. Kim
4. Multi-Factor Authentication for Secure Systems (2018) by R. Das; S. Mishra
5. Behavior-Based Cyber Attack Detection (2022) by K. Verma; A. Gupta
6. Hybrid Security Model using AI and MFA (2023) by S. Reddy; P. Nair
7. Deep Learning for Cybersecurity Applications (2021) by I. Goodfellow; Y. Bengio
8. Network Intrusion Detection using Machine Learning (2020) by L. Zhang; H. Wang.
9. Clustering-Based Anomaly Detection (2019) by P. Jain; M. Kumar
10. Real-Time Cyber Threat Detection using AI (2022) by S. Gupta; R. Mehta

Zero Day Attack Detection System Using Ai with Multifactor Authentication

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