As one of the most basic services of the Internet, DNS has suffered a lot of attacks. Existing
attack detection methods rely on the learning of malicious samples, so it is difficult to detect …

A Distributed Denial-of-service (DDoS) attack is a malicious attempt to disrupt the regular
traffic of a targeted server, service, or network by sending a flood of traffic to overwhelm the …

Various studies have been conducted to detect network anomalies. However, because
anomaly signals are determined by the pattern characteristics using the dataset, the real …

With increasingly cyber-attacks and intrusion techniques, the threat of network security has
become more and more serious. However, existing solutions are no longer sufficient in …

Abstract Distributed Denial-of-Service (DDoS) attacks disrupts the availability of essential
services, which are one of the most harmful threats in today's Internet. Many DDoS detection …

In the application scenarios of cloud computing, big data, and mobile Internet, covert and
diverse network attacks have become a serious problem that threatens the security of …

Software-defined networking (SDN) is earning popularity in enterprise network for
simplifying network management service and reducing operational cost. However, security …

The emergence of new network attacks, especially multi-step attacks which exhibit complex
patterns, presents challenges to network security. Intrusion detection in network traffic is one …

Network based attacks on ecommerce websites can have serious economic consequences.
Hence, anomaly detection in dynamic network traffic has become an increasingly important …

With the spread of Internet of Things (IoT) devices, countermeasures against cyber-attacks
have become an issue. In this study, we focused on anomaly detection using flow data …