Technology has become inevitable in human life, especially the growth of Internet of Things
(IoT), which enables communication and interaction with various devices. However, IoT has …

Internet of things (IoT) is realized by the idea of free flow of information amongst various low‐
power embedded devices that use the Internet to communicate with one another. It is …

Machine learning (ML)-based intrusion detection system (IDS) approaches have been
significantly applied and advanced the state-of-the-art system security and defense …

Abstract Internet of Things (IoT) is a novel paradigm in computer networks in which resource-
constrained objects connect to unreliable Internet by using a wide range of technologies …

We propose a highly scalable cluster-based hierarchical trust management protocol for
wireless sensor networks (WSNs) to effectively deal with selfish or malicious nodes. Unlike …

Abstract Machine Learning is capable of providing real-time solutions that maximize the
utilization of resources in the network thereby increasing the lifetime of the network. It is able …

This paper surveys recently proposed works on Intrusion Detection Systems (IDS) in WSNs,
and presents a comprehensive classification of various IDS approaches according to their …

Anomaly detection in wireless sensor networks is an important challenge for tasks such as
fault diagnosis, intrusion detection, and monitoring applications. The algorithms developed …

Wireless Sensor Networks (WSNs) consist of sensor nodes deployed in a manner to collect
information about surrounding environment. Their distributed nature, multihop data …

Identifying misbehaviors is an important challenge for monitoring, fault diagnosis and
intrusion detection in wireless sensor networks. A key problem is how to minimize the …