Study on artificial intelligence: The state of the art and future prospects
C Zhang, Y Lu - Journal of Industrial Information Integration, 2021 - Elsevier
In the world, the technological and industrial revolution is accelerating by the widespread
application of new generation information and communication technologies, such as AI, IoT …
application of new generation information and communication technologies, such as AI, IoT …
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 …
Secure state estimation and control of cyber-physical systems: A survey
Cyber-physical systems (CPSs) empower the integration of physical processes and cyber
infrastructure with the aid of ubiquitous computation resources and communication …
infrastructure with the aid of ubiquitous computation resources and communication …
An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture
The entire computing paradigm is changed due to the technological advancements in
Information and Communication Technology (ICT). Due to these advancements, various …
Information and Communication Technology (ICT). Due to these advancements, various …
Siamese neural network based few-shot learning for anomaly detection in industrial cyber-physical systems
With the increasing population of Industry 4.0, both AI and smart techniques have been
applied and become hotly discussed topics in industrial cyber-physical systems (CPS) …
applied and become hotly discussed topics in industrial cyber-physical systems (CPS) …
Image-Based malware classification using ensemble of CNN architectures (IMCEC)
Both researchers and malware authors have demonstrated that malware scanners are
unfortunately limited and are easily evaded by simple obfuscation techniques. This paper …
unfortunately limited and are easily evaded by simple obfuscation techniques. This paper …
Local differential privacy-based federated learning for internet of things
The Internet of Vehicles (IoV) is a promising branch of the Internet of Things. IoV simulates a
large variety of crowdsourcing applications, such as Waze, Uber, and Amazon Mechanical …
large variety of crowdsourcing applications, such as Waze, Uber, and Amazon Mechanical …
Multi-objective cluster head selection using fitness averaged rider optimization algorithm for IoT networks in smart cities
Typically, there are a lot of challenges to be faced with providing better performance and
energy optimization in the Internet of Things (IoT) in a smart city. In IoT and wireless sensor …
energy optimization in the Internet of Things (IoT) in a smart city. In IoT and wireless sensor …
MQTTset, a new dataset for machine learning techniques on MQTT
IoT networks are increasingly popular nowadays to monitor critical environments of different
nature, significantly increasing the amount of data exchanged. Due to the huge number of …
nature, significantly increasing the amount of data exchanged. Due to the huge number of …
Intelligent mobile malware detection using permission requests and API calls
Malware is a serious threat that has been used to target mobile devices since its inception.
Two types of mobile malware attacks are standalone: fraudulent mobile apps and injected …
Two types of mobile malware attacks are standalone: fraudulent mobile apps and injected …