Detecting cybersecurity attacks in internet of things using artificial intelligence methods: A systematic literature review
M Abdullahi, Y Baashar, H Alhussian, A Alwadain… - Electronics, 2022 - mdpi.com
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 …
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 …
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 …
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 …
Biometric authentication-based intrusion detection using artificial intelligence internet of things in smart city
Nowadays, there is a growing demand for information security and security rules all across
the world. Intrusion detection (ID) is a critical technique for detecting dangers in a network …
the world. Intrusion detection (ID) is a critical technique for detecting dangers in a network …
[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 …
6G and Intelligent Healthcare: Taxonomy, technologies, open issues and future research directions
ABSTRACT A decentralized patient-centric paradigm is gradually replacing the traditional
hospital and specialist-focused healthcare model. Communication technologies have made …
hospital and specialist-focused healthcare model. Communication technologies have made …
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 …
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 …
Liquified Petroleum Gas-Fuelled Vehicle CO2 Emission Modelling Based on Portable Emission Measurement System, On-Board Diagnostics Data, and Gradient …
M Mądziel - Energies, 2023 - mdpi.com
One method to reduce CO2 emissions from vehicle exhaust is the use of liquified petroleum
gas (LPG) fuel. The global use of this fuel is high in European countries such as Poland …
gas (LPG) fuel. The global use of this fuel is high in European countries such as Poland …