Adaptive Intrusion Detection System using Modified LSTM and Levy Flight-Enhanced Grey Wolf Optimization for Network Security

DOI

10.2991/978-94-6463-754-0_70How to use a DOI?

Keywords

Intrusion Detection System (IDS); Grey Wolf Optimizer (GWO); Throughput Optimization; Network Security; Packet Loss Reduction

Abstract

Adaptive intrusion detection plays a critical role in the changing cybersecurity landscape to neutralize advanced network threats. The current research suggests an innovative solution by incorporating an enhanced Long Short-Term Memory (LSTM) network with Levy Flightoptimized Grey Wolf Optimization (GWO) for real-time network traffic anomaly detection. Conventional signature-based approaches are challenged by dynamic attack patterns, while LSTM is well suited to handle temporal dependencies. The suggested model utilizes Levy Flightimproved GWO to tune hyperparameters for optimizing detection accuracy, minimizing training time, and preventing overfitting. Trained on a complete dataset, the system is able to distinguish normal and attack behaviors efficiently, with feature importance analysis determining major contributors to intrusion detection. Performance assessment based on accuracy, precision, recall, and F1-score proves the superiority of the improved LSTM compared to traditional methods. The model is also resilient to adversarial evasion methods, which strengthens its strength in network security. These results validate the efficacy of adaptive machine learning models in strengthening network defenses against new cyberattacks.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - M. Nuzlin Meera
AU  - T. Rajesh
AU  - K. Priyanka
PY  - 2025
DA  - 2025/06/30
TI  - Adaptive Intrusion Detection System using Modified LSTM and Levy Flight-Enhanced Grey Wolf Optimization for Network Security
BT  - Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
PB  - Atlantis Press
SP  - 799
EP  - 815
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-754-0_70
DO  - 10.2991/978-94-6463-754-0_70
ID  - Meera2025
ER  -