ISSN2320-2882
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Paper Title

Intelligent Anomaly Detection and Cyber Defense System

Authors

K. Sri Ram , T. V. V. S. Manikanta , E. A. N. Durga Prasad , P. Rama Krishna , S. S. Saranya

Keywords

Network Intrusion Detection System, Machine Learning, Random Forest, NSL-KDD, Anomaly Detection, Real-Time Traffic Analysis, Shannon Entropy, Cyber Security, DoS Detection, Packet Analysis

Abstract

This paper presents an Intelligent Anomaly Detection and Cyber Defence System -- a real-time Network Intrusion Detection System (NIDS) capable of classifying network traffic into five attack superclasses: Normal, DOS, PROBE, R2L, and U2R. The system implements a dual prediction pipeline architecture: a Legacy Path utilizing full-session feature classification based on the 41-feature NSL-KDD dataset, and an Early-Stage Path enabling fast probabilistic risk scoring derived from 2-second packet aggregation windows. The Early-Stage Path extracts six lightweight behavioral features -- packet count, SYN rate, average packet size, payload entropy, connection attempts, and window duration -- and maps them through either a trained RandomForest classifier or a heuristic risk estimator when the trained model is unavailable. The system is deployed as a Flask-based web application integrated with a Scapy packet capture daemon, a thread-safe producer-consumer architecture, and a real-time browser dashboard with live polling. A training pipeline converts NSL-KDD connection records into synthetic 2-second windows using sliding window aggregation, and a RandomForestClassifier with balanced class weighting is trained on the resulting dataset. Experimental results demonstrate effective detection of DOS and PROBE attacks in real-time, with graceful degradation to heuristic estimation under model-unavailable conditions. The system bridges the gap between offline model training and live network defense, providing a deployable, scalable intrusion detection framework.

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
"Intelligent Anomaly Detection and Cyber Defense System", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 4, page no.c391-c396, April 2026, Available :https://ijcrt.org/papers/IJCRT2604287.pdf
APA — 7th edition
Ram, K. S., Manikanta, T. V. V. S., Prasad, E. A. N. D., Krishna, P. R., & Saranya, S. S. (2026). Intelligent Anomaly Detection and Cyber Defense System. International Journal of Creative Research Thoughts, 14(4), c391-c396. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604287
MLA — 9th edition
Ram, K. Sri, et al. "Intelligent Anomaly Detection and Cyber Defense System." International Journal of Creative Research Thoughts, vol. 14, no. 4, 2026, pp. c391-c396, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604287.
Chicago — 17th, bibliography
Ram, K. Sri, et al. "Intelligent Anomaly Detection and Cyber Defense System." International Journal of Creative Research Thoughts 14, no. 4 (2026): c391-c396. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604287.
Harvard — author–date
Ram, K.S. et al. (2026) 'Intelligent Anomaly Detection and Cyber Defense System', International Journal of Creative Research Thoughts, 14(4), pp. c391-c396. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604287
IEEE — numbered reference
K. S. Ram, T. V. V. S. Manikanta, E. A. N. D. Prasad, P. R. Krishna and S. S. Saranya, "Intelligent Anomaly Detection and Cyber Defense System," IJCRT, vol. 14, no. 4, pp. c391-c396, Apr. 2026.
Vancouver — biomedical
Ram KS, Manikanta TVVS, Prasad EAND, Krishna PR, Saranya SS. Intelligent Anomaly Detection and Cyber Defense System. IJCRT. 2026 Apr;14(4):c391-c396.
AMA — 11th edition
Ram KS, Manikanta TVVS, Prasad EAND, Krishna PR, Saranya SS. Intelligent Anomaly Detection and Cyber Defense System. IJCRT. 2026;14(4):c391-c396. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604287
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2604287, author = {K. Sri Ram and T. V. V. S. Manikanta and E. A. N. Durga Prasad and P. Rama Krishna and S. S. Saranya}, title = {Intelligent Anomaly Detection and Cyber Defense System}, journal = {International Journal of Creative Research Thoughts}, volume = {14}, number = {4}, pages = {c391-c396}, year = {2026}, month = {April}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604287} }
RIS — EndNote, RefWorks
TY - JOUR AU - Ram, K. Sri AU - Manikanta, T. V. V. S. AU - Prasad, E. A. N. Durga AU - Krishna, P. Rama AU - Saranya, S. S. TI - Intelligent Anomaly Detection and Cyber Defense System T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 14 IS - 4 PY - 2026 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604287 SP - c391-c396 ER -

Issue

Volume 14 Issue 4, April-2026
Pages : c391-c396

Article Information

Pages
c391-c396
Published
April 2026
Registration ID
IJCRT_305084
Published Paper ID
IJCRT2604287
Research Area
Science and Technology
Author Type
Indian Author
Location
Samalkot, Andra Pradesh, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
134

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International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
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© 2026 — 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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