Security and privacy issues in smart cities/industries: technologies, applications, and challenges
The development of the Internet of things (IoT) is rapidly growing everywhere in our daily
lives. Advanced information and communication technologies play a vital role in the …
lives. Advanced information and communication technologies play a vital role in the …
Intrusion detection in internet of things systems: a review on design approaches leveraging multi-access edge computing, machine learning, and datasets
The explosive growth of the Internet of Things (IoT) applications has imposed a dramatic
increase of network data and placed a high computation complexity across various …
increase of network data and placed a high computation complexity across various …
[HTML][HTML] A stacking ensemble of deep learning models for IoT intrusion detection
R Lazzarini, H Tianfield, V Charissis - Knowledge-Based Systems, 2023 - Elsevier
The number of Internet of Things (IoT) devices has increased considerably in the past few
years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a …
years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a …
Machine learning-based IoT-botnet attack detection with sequential architecture
With the rapid development and popularization of Internet of Things (IoT) devices, an
increasing number of cyber-attacks are targeting such devices. It was said that most of the …
increasing number of cyber-attacks are targeting such devices. It was said that most of the …
Intrusion detection based on autoencoder and isolation forest in fog computing
Fog Computing has emerged as an extension to cloud computing by providing an efficient
infrastructure to support IoT. Fog computing acting as a mediator provides local processing …
infrastructure to support IoT. Fog computing acting as a mediator provides local processing …
Toward a lightweight intrusion detection system for the internet of things
Integration of the Internet into the entities of the different domains of human society (such as
smart homes, health care, smart grids, manufacturing processes, product supply chains, and …
smart homes, health care, smart grids, manufacturing processes, product supply chains, and …
Security threats and artificial intelligence based countermeasures for internet of things networks: a comprehensive survey
The Internet of Things (IoT) has emerged as a technology capable of connecting
heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily …
heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily …
A review of fog computing and machine learning: concepts, applications, challenges, and open issues
KH Abdulkareem, MA Mohammed… - Ieee …, 2019 - ieeexplore.ieee.org
Systems based on fog computing produce massive amounts of data; accordingly, an
increasing number of fog computing apps and services are emerging. In addition, machine …
increasing number of fog computing apps and services are emerging. In addition, machine …
A survey on device behavior fingerprinting: Data sources, techniques, application scenarios, and datasets
In the current network-based computing world, where the number of interconnected devices
grows exponentially, their diversity, malfunctions, and cybersecurity threats are increasing at …
grows exponentially, their diversity, malfunctions, and cybersecurity threats are increasing at …
Review on security of internet of things authentication mechanism
Internet of things (IoT) is considered as a collection of heterogeneous devices, such as
sensors, Radio-frequency identification (RFID) and actuators, which form a huge network …
sensors, Radio-frequency identification (RFID) and actuators, which form a huge network …