Jul 2026· Journal of The Institution of Engineers (India) Series B· Vol 107, pp. 1985 - 1993· 0 citations· 16 references
TL;DR
The proposed BAT framework achieves superior classification accuracy of 96%, effectively combining feature-level attention with gradient-boosted ensemble learning to improve detection precision, reduce manual feature engineering, and handle diverse attack categories including DoS, Probe, R2L, and U2R.
The findings indicate that the RF–SVM hybrid model provides an effective and scalable solution for real-time intrusion detection in modern cybersecurity environments.
Esther J., Grace Phiri, Arockia Venice J.· International Journal of Dat...· 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.
As a technology that connects even more systems and services to the Internet with each passing day, cybercrime has grown out of control globally. Significant problems with traditional IDSs have been uncovered when they are exposed to new attack vectors and advanced evasion strategies not contained in their rule sets an...
Dhilleswari Palli, Jyothi Musireddy, V. P· International Journal of Res...· 0 citations
Investigation of deep learning models for binary network intrusion detection using the NSL-KDD benchmark dataset indicates that carefully designed standalone architectures can match or exceed the performance of more complex hybrid and ensemble models for binary intrusion detection, while incurring substantially lower c...
Ketki Naik, Sanjeev Ghosh· International Journal for Re...· 0 citations
The findings indicate that hybrid deep learning techniques can improve network security by enhancing intrusion detection capability while reducing false alarms.
A. O. Jimoh-Mahmud, Abubakar Dayyabu, Abubakar Sadiq Idris et al.· FUDMA Journal of Sciences· 0 citations
Security researchers rely heavily on Network Intrusion Detection Systems (NIDS) to keep an eye on network traffic and notify administrators of any suspicious activities. The purpose of this paper is to offer a comprehensive overview of intrusion detection systems (IDS), including the following topics: fundamentals, kin...
Madhav Sharma· International Journal of Cyb...· 0 citations
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