The market for Internet of Things (IoT) products and services has grown rapidly. It has been
predicted that the deployment of these IoT applications will grow exponentially in the near …

In an increasingly linked world beset with cybersecurity risks, the necessity for powerful
intrusion detection systems (IDS) is paramount. This thesis proposes a fresh approach to …

This article outlines various techniques for detecting types of attacks that may arise in
ZigBee-based IoT system. The researchers introduced a hybrid Intrusion Detection System …

ABSTRACT The Enhanced Adaptive Security Algorithm (EASA) is crafted to bolster the
robustness of smart city network security, specifically targeting the dynamic and complex …

Recent Cyber security breaches, such as the latest T-Mobile data leak in May 2023, which
revealed the PINs, Full names, and Phone numbers of some customers, and a string of other …

In this thesis, the ant colony optimization method based on the deep learning used for the
intrusion detection system. The features of the intrusion are not accurate and the number of …

Intrusion Detection Systems (IDS) are critical components of cybersecurity, tasked with
identifying and mitigating malicious activities in computer networks. Tradi-tional IDS face …

El IoT ha trascendido en los últimos años al hacer posible la interconexión de dispositivos
inteligentes a través del internet, teniendo aplicaciones en diferentes campos, incluyendo …

This investigation aims to explore previous research on the implementation of feature
selection in intrusion detection. Feature selection has demonstrated its ability to enhance or …

Everyday improvement in distributed computing administrations needs more regard to
convey the information with security in light of Interruption happening in a decentralized …