Anomaly detection over HTTP traffic has attracted much attention in recent years, which
plays a vital role in many domains. This article proposes an efficient machine learning …

With the wide deployment of edge devices, a variety of emerging applications have been
deployed at the edge of network. To guarantee the safe and efficient operations of the edge …

Nowadays web applications influence people deeply and become popular targets of
attackers. The payload anomaly detection is an effective method to keep the security of web …

This paper proposes an approach that combines a deep learning-based method and a
traditional machine learning-based method to efficiently detect malicious requests Web …

With the development of the Internet, the network attack technology has undergone
tremendous changes. The forms of network attack and defense have also changed, which …

Detecting anomalous discrete sequences such as payloads and syscall traces is a crucial
task of network security analysis for discovering novel attacks. The data characteristics that …

Big Data-based applications have been increased especially those which utilize anomaly
detection techniques. This paper puts a new insight into the anomaly detection techniques …

Digital transformation driven rapid movement towards the digital economy resulted in an
elevated amount of cyber risks and cyber threats for nations. In this feat, RESTful Application …

With the development of the Internet, more and more services are provided through various
web applications. At the same time, the number of malicious behaviors of illegal access to …

Intrusion detection systems are an integral part of web application security. As Internet use
continues to increase, the demand for fast, accurate intrusion detection systems has grown …