Wireless Sensor Networking is one of the most promising technologies that have
applications ranging from health care to tactical military. Although Wireless Sensor Networks …

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 …

In this paper, we introduce Kalis, a self-adapting, knowledge-driven expert Intrusion
Detection System able to detect attacks in real time across a wide range of IoT systems …

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 …

As the trust issue in wireless sensor networks is emerging as one important factor in security
schemes, it is necessary to analyze how to resist attacks with a trust scheme. In this paper …

Inspired by the biological immune system, many researchers apply artificial immune
principles to intrusion detection in wireless sensor networks, such as negative selection …

Many Internet of Things (IoT) systems run on tiny connected devices that have to deal with
severe processor and energy restrictions. Often, the limited processing resources do not …

An increase in connectivity through the internet and increased freedom of data access has
led to numerous attempts to attack network servers. These attacks have become …

Internet of Things (IoT) concept provides a number of opportunities to improve our daily lives
while also creating a potential risk of increasing the vulnerability of personal information to …

Most of the existing intrusion detection frameworks proposed for wireless sensor networks
(WSNs) are computation and energy intensive, which adversely affect the overall lifetime of …