A survey of machine and deep learning methods for internet of things (IoT) security

MA Al-Garadi, A Mohamed, AK Al-Ali… - … surveys & tutorials, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest developing fields in …

Towards industrial revolution 5.0 and explainable artificial intelligence: Challenges and opportunities.

I Taj, NZ Jhanjhi - International Journal of Computing and Digital …, 2022 - go.gale.com
Technological growth is changing our everyday living, making it smarter and more
convenient day by day; Smart society 5.0, Healthcare 5.0, Agriculture 5.0 are only a few …

Digital twins from smart manufacturing to smart cities: A survey

G Mylonas, A Kalogeras, G Kalogeras… - Ieee …, 2021 - ieeexplore.ieee.org
Digital twins are quickly becoming a popular tool in several domains, taking advantage of
recent advancements in the Internet of Things, Machine Learning and Big Data, while being …

AI-enabled secure microservices in edge computing: Opportunities and challenges

F Al-Doghman, N Moustafa, I Khalil… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The paradigm of edge computing has formed an innovative scope within the domain of the
Internet of Things (IoT) through expanding the services of the cloud to the network edge to …

[PDF][PDF] Society 5.0 and social development

CM Ferreira, S Serpa - Management and Organizational Studies, 2018 - academia.edu
In this working paper we intended to address the emergence of what, potentially, will be a
central concept in the very near future, Society 5.0 and that arises politically in (with) …

The role of digital twins in connected and automated vehicles

C Schwarz, Z Wang - IEEE Intelligent Transportation Systems …, 2022 - ieeexplore.ieee.org
Digital twins found their genesis in the halls of NASA and the methods of product lifecycle
management. Rapidly evolving trends around the proliferation of sensors, the Internet of …

A survey of defensive deception: Approaches using game theory and machine learning

M Zhu, AH Anwar, Z Wan, JH Cho… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Defensive deception is a promising approach for cyber defense. Via defensive deception, a
defender can anticipate and prevent attacks by misleading or luring an attacker, or hiding …

An open source approach to the design and implementation of Digital Twins for Smart Manufacturing

V Damjanovic-Behrendt, W Behrendt - International Journal of …, 2019 - Taylor & Francis
This paper discusses the design of a Digital Twin (DT) demonstrator for Smart
Manufacturing, following an open source approach for implementation. Open source …

A review of anomaly detection strategies to detect threats to cyber-physical systems

N Jeffrey, Q Tan, JR Villar - Electronics, 2023 - mdpi.com
Cyber-Physical Systems (CPS) are integrated systems that combine software and physical
components. CPS has experienced rapid growth over the past decade in fields as disparate …

Machine learning and the Internet of Things security: Solutions and open challenges

U Farooq, N Tariq, M Asim, T Baker… - Journal of Parallel and …, 2022 - Elsevier
Abstract Internet of Things (IoT) is a pervasively-used technology for the last few years. IoT
technologies are also responsible for intensifying various everyday smart applications …