Investigation of the use of Mutual Information-based feature selection and machine learning for multiclass IoT intrusion detection using the CICIoT2023 dataset shows that the ensemble tree-based models outperform the linear and neural-network approaches.
This study investigates the effectiveness of supervised machine learning techniques for detecting cyberattacks in IoT-based smart city networks using the TON_IoT dataset, finding that advanced ensemble learning combined with robust feature engineering provides a reliable and scalable solution for securing smart city Io...
E. Okonta, Oluwaseun Bamgbose· ABC2: Journal of Architectur...· 0 citations
This study proposes a feature selection approach based on Ant Colony Optimization (ACO) to identify the most relevant features for anomaly-based intrusion detection system (IDS) and reduces the feature set to 10 from the original datasets while achieving 100% detection accuracy and minimal training and detection times.
H. Talabani, Zrar Khalid Abdul, Hardi Mohammed Mohammed Saleh· Cluster Computing· 0 citations
As interconnected devices increasingly transmit personal and sensitive data, security attacks are becoming more sophisticated and prevalent, highlighting the critical need for effective security solutions in Internet of Things (IoT) environments. An automated Network Intrusion Detection (NID) system plays a vital role...
Rangu Shashidhar, M. Raju· International Journal of Eng...· 1 citation
The majority of assaults in heterogeneous networks are detected by intrusion detection systems (IDS). Cyberattack kinds that seriously harm networks are difficult for conventional IDSs to detect. The majority of existing solutions rely on deep learning models, which have a significant computational and energy overhead...
Abhinay Kumar Reddy Seella, Rupesh Shirke, Vijay Kumar Kasuba et al.· International Conference on...· 0 citations
Small Office/Home Office (SOHO) networks increasingly rely on Internet of Things (IoT) devices, thereby expanding their attack surface while leaving many users without enterprise-grade security support. This paper presents a twostage intrusion detection and alert-enrichment system that combines Suricata with machine le...
Techit Monsakul· 2026 7th International Confe...· 0 citations
An intelligent cyberattack detection system that applies machine learning and deep learning techniques to classify network traffic as either normal or malicious, and demonstrates the potential of machine learningbased intrusion detection systems in improving network security and supporting the protection of modern smar...
Kadadharapu Anupriya, S. Rao· International Journal of Eng...· 0 citations
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