Anomaly detection has been used for decades to identify and extract anomalous
components from data. Many techniques have been used to detect anomalies. One of the …

Since security threats to WSNs are increasingly being diversified and deliberate, prevention-
based techniques alone can no longer provide WSNs with adequate security. However …

Intrusion detection systems (IDSs) play a pivotal role in computer security by discovering
and repealing malicious activities in computer networks. Anomaly-based IDS, in particular …

During building operation, a significant amount of energy is wasted due to equipment and
human-related faults. To reduce waste, today's smart buildings monitor energy usage with …

Intruders have become more and more sophisticated thus a deterrence mechanism such as
an intrusion detection systems (IDS) is pivotal in information security management. An IDS …

Anomaly detection is often used to identify and remove outliers in datasets. However,
detecting and analyzing the pattern of outliers can contribute to future business decisions or …

Intrusion detection systems plays a pivotal role in detecting malicious activities that
denigrate the performance of the network. Mobile adhoc networks (MANETs) and wireless …

Broad classes of statistical classification algorithms have been developed and applied
successfully to a wide range of real-world domains. In general, ensuring that the particular …

The field of wireless sensor networks (WSNs), embedded systems with sensing and
networking capability, has now matured after a decade-long research effort and …

Abstract In recent years, Mobile Ad hoc NETworks (MANETs) have generated great interest
among researchers in the development of theoretical and practical concepts, and their …