Machine learning techniques are becoming mainstream in intrusion detection systems as
they allow real-time response and have the ability to learn and adapt. By using a …

Wireless sensor networks are considered as the foundation of the Internet of Things.
Inherent problems in wireless sensor networks such as power consumption, lack of …

In recent years, optimizing sensor nodes energy appears to be a strong element in
improving the performance of the Wireless Sensor Network (WSN). In the focus of these …

Software defined network (SDN) is a paradigm developed achieve great flexibility and cope
with the limitations of traditional networks architecture such as the wireless sensor networks …

The development of intrusion detection systems (IDS) that are adapted to allow routers and
network defence systems to detect malicious network traffic disguised as network protocols …

To keep tabs on and document events over a big region, wireless sensor networks (WSN)
link together a slew of nodes dispersed across it. Nodes in a WSN can function indefinitely …

In today's world, a Network Intrusion Detection System (NIDS) plays a vital role in order to
secure the Wireless Sensor Network (WSN). However, the traditional NIDS model faced …

Detecting denial‐of‐service (DoS) attacks and reducing the energy consumption are two
important and frequent requirements in wireless sensor networks (WSNs). In this paper, we …

Wireless Sensor Network (WSN) consists of small low‐cost, low‐power multifunctional
nodes interconnected to efficiently aggregate and transmit data to sink. Cluster‐based …

Wireless sensor networks is one of the important parts in modern-day communication that
employing low-cost sensor devices with different environmental and physical parameters …