This paper proposes an AI-powered intrusion detection method that improves intrusion
detection performance by increasing the quality of the training set and employing numerous …

The development of internet technology has brought us benefits, but at the same time, there
has been a surge in network attack incidents, posing a serious threat to network security. In …

With the rapid development of the Internet of Things (IoT), the number of IoT devices is
increasing dramatically, making it increasingly important to identify intrusions on these …

In recent years, frequent network attacks have highlighted the importance of efficient
detection methods for ensuring cyberspace security. This paper presents a novel intrusion …

Low-rate distributed denial of service attacks, as known as LDDoS attacks, pose the
notorious security risks in cloud computing network. They overload the cloud servers and …

One of the critical technologies to ensure cyberspace security is network traffic anomaly
detection, which detects malicious attacks by analyzing and identifying network traffic …

This paper addresses the persistent threat of botnet attacks on IoT devices, emphasizing
their continued existence despite various conventional and deep learning methodologies …

To address the issue of low detection accuracy and high false positive rate in existing
network intrusion detection methods, this paper proposes an intrusion detection model …

Cybersecurity is becoming increasingly important with the rise in Internet usage. The two
most frequent cyberattacks that can seriously harm a website or a server and render them …

The development of vehicular networking technology continuously enhances the internet
connectivity of modern vehicles. However, for in-vehicle networks, constant communication …