This paper surveys the deep learning (DL) approaches for intrusion-detection systems
(IDSs) in Internet of Things (IoT) and the associated datasets toward identifying gaps …

Abstract Internet of Things (IoT) driven systems have been sharply growing in the recent
times but this evolution is hampered by cybersecurity threats like spoofing, denial of service …

Internet-of-Things (IoT) technology is increasingly prominent in the current stage of social
development. All walks of life have begun to implement the IoT integration technology, so as …

The Internet of Things (IoT) is an emerging technology that has earned a lot of research
attention and technical revolution in recent years. Significantly, IoT connects and integrates …

In the cloud-based Internet of Things (IoT) environments, quantifying uncertainty is an
important element input to keep the acceptable level of reliability in various configurations. In …

Over the last decade, machine learning (ML) and deep learning (DL) algorithms have
significantly evolved and been employed in diverse applications, such as computer vision …

We present a framework to secure Internet-of-Things (IoT) enabled Smart Cities using Black
Networks and Artificial Intelligence (AI) to protect against a broad range of current and future …

The Internet of Things (IoT) has extensively altered the IT landscape, allowing thus no
human requirements in order to fluently communicate. However, it has introduced …

The vision of IoT is to interface the things utilized in our day-to-day lives (which have the
capacity of detecting and activation) via internet platform. This may or might possibly include …

This article addresses cyber security risk assessment in industrial internet of things (IIoT)
networks, and particularly the continuous risk assessment (CRA) process, which assumes …