Adversarial examples have emerged as a significant threat to machine learning algorithms,
especially to the convolutional neural networks (CNNs). In this paper, we propose two …

There is a great demand for an efficient security tool which can secure IIoT systems from
potential adversarial attacks. However, it is challenging to design a suitable security model …

Internet-of-Things systems are assemblies of highly-distributed and heterogeneous parts
that, in orchestration, work to provide valuable services to end-users in many scenarios …

Infrastructure‐less networks connect communication devices end‐to‐end by managing links
and routes independent of fixed networking facilities, relying on dedicated protocols running …

The world is currently progressing towards a new connectivity era where billions of sensors
are connected over a network called the Internet of Things (IoT). IoT enables a wide range of …

Cyber Physical Trust Systems (CPTS) are Cyber Physical Systems and Internet of Things
enriched with trust as an explicit, measurable, testable and verifiable system component. In …

Pipeline networks dominate the oil and gas midstream sector, and although the safest
means of transportation for oil and gas products, they are susceptible to failures. These …

Cyber-Physical Systems (CPS) consist of inter-wined computational (cyber) and physical
components interacting through sensors and/or actuators. Computational elements are …

We present MoonLight, a tool for monitoring temporal and spatio-temporal properties of
mobile and spatially distributed cyber-physical systems (CPS). In the proposed framework …

Intelligence Everywhere is predicated on the seamless integration of INTERNET of Things
(IoT) networks transporting a vast amount of data streams through many computing …