Convergence of blockchain and edge computing for secure and scalable IIoT critical infrastructures in industry 4.0
Critical infrastructure systems are vital to underpin the functioning of a society and economy.
Due to the ever-increasing number of Internet-connected Internet-of-Things (IoT)/Industrial …
Due to the ever-increasing number of Internet-connected Internet-of-Things (IoT)/Industrial …
Investigating the prospect of leveraging blockchain and machine learning to secure vehicular networks: A survey
With recent developments in communication technologies, vehicular networks have become
a reality with various applications. However, the cybersecurity aspect of vehicular networks …
a reality with various applications. However, the cybersecurity aspect of vehicular networks …
TT-SVD: An efficient sparse decision-making model with two-way trust recommendation in the AI-enabled IoT systems
The convergence of AI and IoT enables data to be quickly explored and turned into vital
decisions, and however, there are still some challenging issues to be further addressed. For …
decisions, and however, there are still some challenging issues to be further addressed. For …
Reinforcement Learning‐Based Genetic Algorithm in Optimizing Multidimensional Data Discretization Scheme
Q Chen, M Huang, Q Xu, H Wang… - … Problems in Engineering, 2020 - Wiley Online Library
Feature discretization can reduce the complexity of data and improve the efficiency of data
mining and machine learning. However, in the process of multidimensional data …
mining and machine learning. However, in the process of multidimensional data …
CPFL: An effective secure cognitive personalized federated learning mechanism for industry 4.0
J Wang, G Xu, W Lei, L Gong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
While promoting the intelligence in industrial production, Industry 4.0 has also caused
privacy leaks concurrently. As a possible solution, the existing personalized federated …
privacy leaks concurrently. As a possible solution, the existing personalized federated …
Quantum searchable encryption for cloud data based on full-blind quantum computation
W Liu, Y Xu, W Liu, H Wang, Z Lei - IEEE Access, 2019 - ieeexplore.ieee.org
Searchable encryption (SE) is a positive way to protect users sensitive data in cloud
computing setting, while preserving search ability on the server side, ie, it allows the server …
computing setting, while preserving search ability on the server side, ie, it allows the server …
A fog‐based collaborative intrusion detection framework for smart grid
With the rapid development of information and communication technologies (ICTs), the
conventional electrical grid is evolving towards an intelligent smart grid. Due to the …
conventional electrical grid is evolving towards an intelligent smart grid. Due to the …
Breaking the Performance Gap of Fully and Semi-Supervised Learning in Electromagnetic Signature Recognition
Intelligent electromagnetic signature recognition is one of the key technologies in Internet of
Things (IoT) device connection, which can improve system security and speed up the …
Things (IoT) device connection, which can improve system security and speed up the …
Dynacomm: Accelerating distributed CNN training between edges and clouds through dynamic communication scheduling
To reduce uploading bandwidth and address privacy concerns, deep learning at the network
edge has been an emerging topic. Typically, edge devices collaboratively train a shared …
edge has been an emerging topic. Typically, edge devices collaboratively train a shared …
[HTML][HTML] Dynamic IoT malware detection in Android systems using profile hidden Markov models
The prevalence of malware attacks that target IoT systems has raised an alarm and
highlighted the need for efficient mechanisms to detect and defeat them. However, detecting …
highlighted the need for efficient mechanisms to detect and defeat them. However, detecting …