Sep 2026· Information Security Journal: A Global Perspective· Vol 35, pp. 708 - 720· 0 citations· 29 references
TL;DR
Experimental outcomes indicate that EL-NTP demonstrates comparable detection capabilities to several previously established NI detection (NID) methods and is proficient in recognizing a diverse array of NI types.
A thorough analysis of a modest version of a suggested system that use Support Vector Machines (SVM) to address networking anomaly and misuse detection in the face of insurmountable obstacles, foreseeing an all-encompassing solution to modern network security issues.
Gaurav Kishor Saxena, Shambhu Dayal Sahu· International Journal of Cre...· 0 citations
An Enhanced Multi-Model Ensemble Network Intrusion Detection System (EME-NIDS), a deep meta-learning system that combines five different heterogeneous learning paradigms, including Convolutional Neural Networks, Dense Neural Networks, Transformers, XGBoost, and Random Forests is introduced.
This review presents a comprehensive analysis of machine learning-based intrusion detection systems, covering a wide range of techniques including supervised learning, unsupervised learning, ensemble learning, and deep learning models, and discusses critical challenges affecting the deployment of ML-based IDS.
Ranobir Hasan, H. Jamal, Kamal Kamal et al.· The Eastasouth Journal of In...· 0 citations
Applying Artificial Intelligence (AI) to the context of networking systems has greatly enhanced the ability to detect, protect, and manage the kind of flows in networks in real time. This research explores the relationship between AI and networking, and more particularly, the extent to which AI technology can be used t...
Anish Antony, S. Thaseen, Ashvini Alashetty et al.· Discover Artificial Intellig...· 0 citations
As MNI becomes increasingly vulnerable to new kinds of attacks from the cyber world, accurate and timely detection of intrusions becomes a primary key to the power of cybersecurity. More complex attack patterns, complex traffic interactions within large scales are not very collaborable with the typical signature-based...
S. Nagendrudu, Shaik Mohammed Anays, F. Mahammad et al.· 2026 International Conferenc...· 0 citations
An OFLN by addition of PSO to perform automated hyperparameter optimization and MAML to enable high-speed adaptation to new and previously seen attacks is proposed, which is more effective than baseline ensemble models in detection accuracy, resistance to class imbalance and training efficiency.
