The use of Machine Learning (ML) techniques in Intrusion Detection Systems (IDS) has
taken a prominent role in the network security management field, due to the substantial …

Abstract Intrusion Detection Systems (IDSs) have become essential to the sound operations
of networks. These systems have the potential to identify and report deviations from normal …

Distributed Denial of Service (DDoS) attacks are one of the most harmful threats in today's
Internet, disrupting the availability of essential services. The challenge of DDoS detection is …

Traffic classification groups similar or related traffic data, which is one main stream
technique of data fusion in the field of network management and security. With the rapid …

Abstract Software Defined Networking (SDN) decouples the control plane and the data
plane and solves the difficulty of new services deployment. However, the threat of a single …

In the digital era, the usage of network-connected devices is rapidly growing which leads to
an increase in cyberattacks. Among them, Distributed Denial of Service (DDoS) attacks are …

In the past ten years, the source of DDoS has migrated to botnets composed of IoT devices.
The scale of DDoS attacks increases dramatically with the number of IoT devices. New …

Distributed denial of service (DDoS) attacks have become one of the main factors restricting
the development of internet of vehicles (IoV). Although some intelligent reinforcement …

Promptly discovering unknown network attacks is critical for reducing the risk of major loss
imposed on organizations and information infrastructure. This paper aims at developing an …

The modern digitized world is mainly dependent on online services. The availability of
online systems continues to be seriously challenged by distributed denial of service (DDoS) …