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Detecting cybersecurity attacks in internet of things using artificial intelligence methods: A systematic literature review
In recent years, technology has advanced to the fourth industrial revolution (Industry 4.0),
where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have …
where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have …
[HTML][HTML] Securing industrial control systems: Components, cyber threats, and machine learning-driven defense strategies
Industrial Control Systems (ICS), which include Supervisory Control and Data Acquisition
(SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers …
(SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers …
An artificial intelligence lightweight blockchain security model for security and privacy in IIoT systems
Abstract The Industrial Internet of Things (IIoT) promises to deliver innovative business
models across multiple domains by providing ubiquitous connectivity, intelligent data …
models across multiple domains by providing ubiquitous connectivity, intelligent data …
[HTML][HTML] Cybersecurity in power grids: Challenges and opportunities
Increasing volatilities within power transmission and distribution force power grid operators
to amplify their use of communication infrastructure to monitor and control their grid. The …
to amplify their use of communication infrastructure to monitor and control their grid. The …
6G and intelligent healthcare: Taxonomy, technologies, open issues and future research directions
A decentralised patient-centric paradigm is gradually replacing the traditional hospital and
specialist-focused healthcare model. Communication technologies have made it possible to …
specialist-focused healthcare model. Communication technologies have made it possible to …
Machine learning and deep learning techniques for internet of things network anomaly detection—current research trends
With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels
of connectivity and data. Anomaly detection is a security feature that identifies instances in …
of connectivity and data. Anomaly detection is a security feature that identifies instances in …
[HTML][HTML] A comprehensive review on 5G-based smart healthcare network security: Taxonomy, issues, solutions and future research directions
Healthcare is experiencing a fast change from a hospital-centric and specialist-focused
model to one that is dispersed and patient-centric. Numerous technological advancements …
model to one that is dispersed and patient-centric. Numerous technological advancements …
Internet of things (iot): Origin, embedded technologies, smart applications and its growth in the last decade
The idea of the IoT began back in 1982 when a vending machine was connected to the
internet, then to the concept of Mark Weiser in 1992, then RFID, and so on. A detailed …
internet, then to the concept of Mark Weiser in 1992, then RFID, and so on. A detailed …
[HTML][HTML] Using machine learning for dynamic authentication in telehealth: A tutorial
Telehealth systems have evolved into more prevalent services that can serve people in
remote locations and at their homes via smart devices and 5G systems. Protecting the …
remote locations and at their homes via smart devices and 5G systems. Protecting the …
Authentication schemes for healthcare applications using wireless medical sensor networks: A survey
Many applications are developed with the quick emergence of the Internet of things (IoT)
and wireless sensor networks (WSNs) in the health sector. Healthcare applications that use …
and wireless sensor networks (WSNs) in the health sector. Healthcare applications that use …