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 …

Existing IoT Network Anomaly Detection Systems (NADSes) typically treat IoT devices as
independent entities and model them by Euclidean space features. These approaches suffer …

Regular expressions (REs) offer one-shot solutions for many networking tasks, eg, network
intrusion detection. However, REs purely rely on expert knowledge and cannot utilize …

With the booming of smart home market, intelligent Internet of Things (IoT) devices have
been increasingly involved in home life. To improve the user experience of smart homes …

Many security applications require unsupervised anomaly detection, as malicious data are
extremely rare and often only unlabeled normal data are available for training (ie, zero …

Synthetic traffic generation can produce sufficient data for model training of various traffic
analysis tasks for IoT networks with few costs and ethical concerns. However, with the …

Anomaly-based network intrusion detection systems (A-NIDS) use unsupervised models to
detect unforeseen attacks. However, existing A-NIDS solutions suffer from low throughput …

The rise of malware targeting interconnected infrastructures has surged in recent years,
driven largely by the widespread presence of vulnerable legacy IoT devices and …

In this paper, an intelligent intrusion detection system in a software-based network with
metaheuristic algorithm is presented. In the proposed system, the controllers use the binary …

ABSTRACT The Internet of Things (IoT) is a large and intelligent communication network.
The volume of traffic in the IoT network is very high and an intelligent switching network is …