Enhanced Network Traffic Classification with Machine Learning Algorithms
Network traffic classification plays a critical role in maintaining the security and efficiency of
modern computer networks. Existing techniques often have problems effectively identifying …
modern computer networks. Existing techniques often have problems effectively identifying …
[HTML][HTML] WGAN-DL-IDS: An Efficient Framework for Intrusion Detection System Using WGAN, Random Forest, and Deep Learning Approaches
The rise in cyber security issues has caused significant harm to tech world and thus society
in recent years. Intrusion detection systems (IDSs) are crucial for the detection and the …
in recent years. Intrusion detection systems (IDSs) are crucial for the detection and the …
Economic Denial of Sustainability Attack Detection Using Machine Learning
Cloud computing stands as one of the most pervasive technological innovations, providing
computing services, including IT infrastructure, over the internet. This technology alone …
computing services, including IT infrastructure, over the internet. This technology alone …
KDSR: Hybrid Machine-Learning Solution for Intrusion Detection in Fog Computing Environment
Fog computing, that hip cousin of cloud computing, acts as the mediator between cloud data
hubs and our gadgets, providing computing, storage, and network services. It is all about …
hubs and our gadgets, providing computing, storage, and network services. It is all about …