Machine Learning (ML) models are susceptible to adversarial samples that appear as
normal samples but have some imperceptible noise added to them with the intention of …

As a new computing paradigm, edge computing has appeared in the public field of vision
recently. Owing to its advantages of low delay and fast response, edge computing has …

Abstract Edge-of-Things (EoT) is a new evolving computing model driven by the Internet of
Things (IoT). It enables data processing, storage, and service to be shifted from the Cloud to …

Since the dawn of Humanity, the progress machine tirelessly introduced tools and resources
that facilitated our everyday tasks. Over the years, new technologies have continually …

Traditional machine learning‐based intrusion detection often only considers a single
algorithm to identify intrusion data, lack of the flexibility method, low detection rate, no …

The security concerns surrounding edge computing have been in the forefront as the
technology has become increasingly popular. There is a larger need to move computations …

Abstract The Internet of Things (IoT) platform allows physical devices to connect directly to
the internet and upload data continuously. Insecure access makes IoT platforms vulnerable …

Edge computing (EC) is a computing methodology that is distributed in nature that brings
data storage and computation closer to the place where it is to be used to accelerate …

In this work, we propose a novel metaheuristic algorithm that evolved from a conventional
particle swarm optimization (PSO) algorithm for application in miniaturized devices and …

As an emerging computing paradigm, mobile edge computing (MEC) is receiving growing
attention. In MEC, user requests on software applications are firstly sent to edge servers for …