Analysing the connection between ai and industry 4.0 from a cybersecurity perspective: defending the smart revolution
In recent years, the significance and efficiency of business performance have become
dependent heavily on digitization, as jobs in companies are seeking to be transformed into …
dependent heavily on digitization, as jobs in companies are seeking to be transformed into …
A User Mobility-based Data Placement Strategy in a Hybrid Cloud/Edge Environment using a Causal-aware Deep Learning Network
Edge computing has become a prominent solution when it comes to mobile applications and
data management, due to its ability to considerably reduce data transmission costs, and to …
data management, due to its ability to considerably reduce data transmission costs, and to …
Wangiri fraud: Pattern analysis and machine-learning-based detection
The rapid growth of the telecommunication landscape leads to a rapid rise of frauds in such
networks. In this article, Wangiri fraud in which users are deceived by being charged for …
networks. In this article, Wangiri fraud in which users are deceived by being charged for …
Resilient deployment of smart nodes for improving confident information coverage in 5G IoT
The development of 5G has brought new opportunities for the application of Internet of
Things (IoT). The integration of 5G and IoT technologies promote high availability, resilience …
Things (IoT). The integration of 5G and IoT technologies promote high availability, resilience …
Internet of things and cloud activity monitoring systems for elderly healthcare
Abstract According to the World Health Organization, people aged 60 years and above
globally will be 2 billion in 2050 by increasing from its present 841 million populaces. With …
globally will be 2 billion in 2050 by increasing from its present 841 million populaces. With …
Minority resampling boosted unsupervised learning with hyperdimensional computing for threat detection at the edge of Internet of Things
V Christopher, T Aathman, K Mahendrakumaran… - IEEE …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has rapidly transformed digital environments across a multitude
of domains with increased connectivity and pervasive virtualization. The distributed …
of domains with increased connectivity and pervasive virtualization. The distributed …
Reinforcement learning for task placement in collaborative cloud-edge computing
P Zhou, G Wu, B Alzahrani, A Barnawi… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
With the advantage of being close to the network, edge cloud-enabled computing mode
brings flexibility to task scheduling. However, with the heterogeneity of computing resources …
brings flexibility to task scheduling. However, with the heterogeneity of computing resources …
Resource discovery approaches in cloudIoT: a systematic review
The cloud of things (CloudIoT) represents a general system of supporting infrastructure for
storing and processing information gathered from smart objects and their communications …
storing and processing information gathered from smart objects and their communications …
Internet of Things data management: A systematic literature review, vision, and future trends
N Shirvanian, M Shams… - International Journal of …, 2022 - Wiley Online Library
Summary The Internet of Things (IoT) is expected to connect devices with unique identifiers
over a network to create an equilibrium system with high speeds and volumes of data while …
over a network to create an equilibrium system with high speeds and volumes of data while …
A measurement study on device-to-device communication technologies for IIoT
Abstract Industrial Internet of Things (IIoT) connect all components of the factory by
constructing low-delay and high-reliability network (wired or wireless), realizing ubiquitous …
constructing low-delay and high-reliability network (wired or wireless), realizing ubiquitous …