[HTML][HTML] A comparative assessment of machine learning algorithms in the IoT-based network intrusion detection systems
M Samantaray, RC Barik, AK Biswal - Decision Analytics Journal, 2024 - Elsevier
The rapid increase in online risks is a reflection of the exponential growth of Internet of
Things (IoT) networks. Researchers have proposed numerous intrusion detection …
Things (IoT) networks. Researchers have proposed numerous intrusion detection …
BRL-ETDM: Bayesian reinforcement learning-based explainable threat detection model for industry 5.0 network
To enhance the universal adaptability of the Real-Time deployment of Industry 5.0, various
machine learning-based cyber threat detection models are given in the literature. Most of the …
machine learning-based cyber threat detection models are given in the literature. Most of the …
A multi-node attack scheme based on community partitioning in large scale infrastructure networks
B Li, W Hu - Computer Networks, 2024 - Elsevier
Node attack plays a vital role in evaluating the reliability of large scale infrastructure
networks, which has attracted intensive research interests. Unfortunately, most of them focus …
networks, which has attracted intensive research interests. Unfortunately, most of them focus …
A novel Bayesian optimizable ensemble bagged trees model for cryptocurrency fraud prediction approach
M Norouzi - Security and Privacy - Wiley Online Library
Nowadays, the prediction of cryptocurrency side effects on the critical aspects of the
exchange rates in intelligent business is one of the main challenges in the financial market …
exchange rates in intelligent business is one of the main challenges in the financial market …