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 …
MEC-enabled 5G use cases: a survey on security vulnerabilities and countermeasures
The future of mobile and internet technologies are manifesting advancements beyond the
existing scope of science. The concepts of automated driving, augmented-reality, and …
existing scope of science. The concepts of automated driving, augmented-reality, and …
Security considerations for Internet of Things: A survey
Interconnecting “things” and devices that takes the form of wearables, sensors, actuators,
mobiles, computers, meters, or even vehicles is a critical requirement for the current era …
mobiles, computers, meters, or even vehicles is a critical requirement for the current era …
Towards blockchain-enabled security technique for industrial internet of things based decentralized applications
Abstract As the Industrial Internet of Things (IIoT) is one of the emerging trends and
paradigm shifts to revolutionize the traditional industries with the fourth wave of evolution or …
paradigm shifts to revolutionize the traditional industries with the fourth wave of evolution or …
Blockchain assisted clustering with intrusion detection system for industrial internet of things environment
RF Mansour - Expert Systems with Applications, 2022 - Elsevier
Industry 4.0 has the potential to create new industrial revolution by offering intelligent,
secure, independent, and self-adaptive Industrial Internet of Things (IIoT) networks. These …
secure, independent, and self-adaptive Industrial Internet of Things (IIoT) networks. These …
Towards cognitive authentication for smart healthcare applications
Secure and reliable sensing plays the key role for cognitive tracking ie, activity identification
and cognitive monitoring of every individual. Over the last years there has been an …
and cognitive monitoring of every individual. Over the last years there has been an …
Federated learning for distributed IIoT intrusion detection using transfer approaches
J Zhang, C Luo, M Carpenter… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Considering that low-cost and resource-cons-trained sensors coupled inherently could be
vulnerable to growing numbers of intrusion threats, industrial Internet-of-Things (IIoT) …
vulnerable to growing numbers of intrusion threats, industrial Internet-of-Things (IIoT) …
Decentralized energy efficient model for data transmission in IoT-based healthcare system
The growing world population is facing challenges such as increased chronic diseases and
medical expenses. Integrate the latest modern technology into healthcare system can …
medical expenses. Integrate the latest modern technology into healthcare system can …
Novel trajectory privacy protection method against prediction attacks
S Qiu, D Pi, Y Wang, Y Liu - Expert Systems with Applications, 2023 - Elsevier
When the public uses Location-based Services (LBSs), their location information is
constantly exposed. Owing to the spatiotemporal correlation of trajectories, it is easy for …
constantly exposed. Owing to the spatiotemporal correlation of trajectories, it is easy for …
Security enhanced authentication protocol for space-ground integrated railway networks
Y Wang, W Zhang, X Wang, MK Khan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The Software Defined Network (SDN)-based space-ground integrated railway
communication networks have attracted widespread attention from academia and industry …
communication networks have attracted widespread attention from academia and industry …