Despite providing unparalleled connectivity and convenience, the exponential growth of the
Internet of Things (IoT) ecosystem has triggered significant cybersecurity concerns. These …

Abstract Advances in Deep Learning (DL), Big Data and image processing have facilitated
online disinformation spreading through Deepfakes. This entails severe threats including …

The rapid expansion of AI-enabled Internet of Things (IoT) devices presents significant
security challenges, impacting both privacy and organizational resources. The dynamic …

The Internet of Things (IoT) is transforming how we live and work, and its applications are
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …

The swift proliferation of Internet of Things (IoT) devices has presented considerable
challenges in maintaining cybersecurity. As IoT ecosystems expand, they increasingly attract …

The most significant threat that networks established in IoT may encounter is cyber attacks.
The most commonly encountered attacks among these threats are DDoS attacks. After …

The quality of service (QoS) parameters in IoT applications plays a prominent role in
determining the performance of an application. Considering the significance and popularity …

With the recent rise in internet usage, the volume of crucial, private, and confidential data
traveling online has increased. Attackers have made attempts to break into the network due …

The function of network intrusion detection systems (NIDS) in protecting networks from
cyberattacks is crucial. Many of the more conventional techniques rely on signature-based …

This study uses deep learning methods to explore the Internet of Things (IoT) network
intrusion detection method based on the CIC-IoT-2023 dataset. This dataset contains …