In the modern era of active network throughput and communication, the study of Intrusion
Detection Systems (IDS) is a crucial role to ensure safe network resources and information …

Network intrusion detection systems (NIDS) are the most common tool used to detect
malicious attacks on a network. They help prevent the ever-increasing different attacks and …

Network and cloud environments must be fortified against a dynamic array of threats, and
intrusion detection systems (IDSs) are critical tools for identifying and thwarting hostile …

Aiming at the problem that Sparrow Search Algorithm (SSA) may fall into local optima and
have slow convergence speed, a hybrid strategy improved sparrow search algorithm …

Various machine learning algorithms have been applied to network intrusion classification
problems, including both binary and multi-class classifications. Despite the existence of …

A revolutionary approach for enhancing driving efficiency and safety in intelligent
transportation systems (ITS) is deploying autonomous vehicles. Vehicle-to-everything (V2X) …

An IDS (Intrusion Detection System) is essential for network security experts, as it allows one
to identify and respond to abnormal traffic present in a network. An IDS can be utilized for …

A considerable concern arises with the precise identification of brute-force threats within a
networked environment. It emphasizes the need for new methods, as existing ones often …

In the expansive realm of the Internet, escalating online traffic corresponds to a surge in
sophisticated network attacks. Intrusion Detection Systems (IDS) are pivotal in identifying …

In the face of smart grid attacks generally have a wide variety of problems, we propose a
deep security analysis model based on ensemble learning and single classification …