With the rapid expansion of Internet of Things (IoT) networks, the need for robust security
measures to detect and report potential threats is becoming more urgent. In this paper, we …

In the medical domain, early identification of cardiovascular issues poses a significant
challenge. This study enhances heart disease prediction accuracy using machine learning …

A new network architecture called the Software-Defined Network (SDN) gives next-
generation networks a more flexible and efficiently controlled network architecture. Using the …

This study introduces a new classifier tailored to address the limitations inherent in
conventional classifiers such as K-nearest neighbor (KNN), random forest (RF), decision …

Detection of anomaly in streaming data requires continuous analysis of the stream in real
time. This process turns out to be difficult due to varied volume and velocity of data streams …

Traditional intrusion detection systems are insufficient to identify recent and modern
sophisticated attempts with unpredictable patterns. The ability to reliably detect modern …

Abstract Anomaly detection in Wireless Sensor Networks (WSNs) is critical for their reliable
and secure operation. Optimizing resource efficiency is crucial for reducing energy …

Wireless Sensor Networks (WSNs) are the key underlying technology of the Internet of
Things (IoT); however, these networks are energy constrained. Security has become a major …

Wireless sensor networks have become an important element of technologies such as the
Internet of Things due to their ability to obtain sensory data from the physical world in …

In today's modern world, the usage of technology is unavoidable and the rapid advances in
the Internet and communication fields have resulted to expand the Wireless Sensor Network …