ISSN2320-2882
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Paper Title

Ai- Enhanced Firewall

Authors

Ashwin kumar N.S , Adarsh.K , Muhammed Amees G.K , Muhammed Alfaz C.K , Mrs.Kalpana .M

Keywords

AI Enhanced Firewall, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Cybersecurity, Intrusion Detection, Anomaly Detection, Threat Intelligence, Predictive Security, Network Protection, Data Privacy, Ethical AI, Reinforcement Learning, Cloud Security, IoT Security, Adaptive Defense, Cyber Threat Prevention, Zero-Day Attack Detection, Real-Time Monitoring.

Abstract

This paper presents the AI Enhanced Firewall (AIEF), an advanced cybersecurity solution that integrates Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) to strengthen traditional firewall mechanisms. Unlike conventional firewalls that rely primarily on static rule sets and signature-based filtering, the AIEF employs adaptive intelligence to detect, analyze, and mitigate sophisticated cyber threats in real time. With the rapid growth of malware, ransomware, and zero-day exploits, legacy firewalls often fail to provide sufficient protection against dynamic and evolving attack vectors. The proposed AIEF system leverages supervised and unsupervised learning models to automatically learn from network traffic patterns, identify anomalies, and apply predictive defense strategies. Using techniques such as behavior-based intrusion detection, anomaly detection, and reinforcement learning, the system adapts to new threats without requiring constant manual updates. Furthermore, the AI Enhanced Firewall integrates contextual understanding of network behavior and predictive blocking, ensuring proactive security rather than reactive defense. Its applications span enterprise networks, cloud infrastructure, IoT ecosystems, and critical sectors such as healthcare, banking, and defense. By combining AI-driven threat intelligence, automated decision-making, and adaptive learning, the AIEF enhances data confidentiality, integrity, and availability while minimizing false positives. This work demonstrates how next-generation AI-based firewalls can transform cybersecurity by creating an intelligent, resilient, and self-improving defense system against modern digital threats.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJCRT — journal style
"Ai- Enhanced Firewall", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 9, page no.d110-d122, September 2025, Available :https://ijcrt.org/papers/IJCRT2509357.pdf
APA — 7th edition
N.S, A. K., Adarsh.K, G.K, M. A., C.K, M. A., & .M, M. K. (2025). Ai- Enhanced Firewall. International Journal of Creative Research Thoughts, 13(9), d110-d122. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2509357
MLA — 9th edition
N.S, Ashwin kumar, et al. "Ai- Enhanced Firewall." International Journal of Creative Research Thoughts, vol. 13, no. 9, 2025, pp. d110-d122, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2509357.
Chicago — 17th, bibliography
N.S, Ashwin kumar, et al. "Ai- Enhanced Firewall." International Journal of Creative Research Thoughts 13, no. 9 (2025): d110-d122. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2509357.
Harvard — author–date
N.S, A.K. et al. (2025) 'Ai- Enhanced Firewall', International Journal of Creative Research Thoughts, 13(9), pp. d110-d122. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2509357
IEEE — numbered reference
A. K. N.S, Adarsh.K, M. A. G.K, M. A. C.K and M. K. .M, "Ai- Enhanced Firewall," IJCRT, vol. 13, no. 9, pp. d110-d122, Sep. 2025.
Vancouver — biomedical
N.S AK, Adarsh.K, G.K MA, C.K MA, .M MK. Ai- Enhanced Firewall. IJCRT. 2025 Sep;13(9):d110-d122.
AMA — 11th edition
N.S AK, Adarsh.K, G.K MA, C.K MA, .M MK. Ai- Enhanced Firewall. IJCRT. 2025;13(9):d110-d122. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2509357
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2509357, author = {Ashwin kumar N.S and Adarsh.K and Muhammed Amees G.K and Muhammed Alfaz C.K and Mrs.Kalpana .M}, title = {Ai- Enhanced Firewall}, journal = {International Journal of Creative Research Thoughts}, volume = {13}, number = {9}, pages = {d110-d122}, year = {2025}, month = {September}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2509357} }
RIS — EndNote, RefWorks
TY - JOUR AU - N.S, Ashwin kumar AU - Adarsh.K AU - G.K, Muhammed Amees AU - C.K, Muhammed Alfaz AU - .M, Mrs.Kalpana TI - Ai- Enhanced Firewall T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 13 IS - 9 PY - 2025 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2509357 SP - d110-d122 ER -

Issue

Volume 13 Issue 9, September-2025
Pages : d110-d122

Article Information

Pages
d110-d122
Published
September 2025
Registration ID
IJCRT_293840
Published Paper ID
IJCRT2509357
Research Area
Science and Technology
Author Type
Indian Author
Location
Bangalore, Karnataka, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
258

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International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
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Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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Licence

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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