Review on deep learning applications in frequency analysis and control of modern power system
The penetration of renewable energy resources (RES) generation and the interconnection of
regional power grids in wide area and large scale have led the modern power system to …
regional power grids in wide area and large scale have led the modern power system to …
Reinforcement learning-based physical cross-layer security and privacy in 6G
Sixth-generation (6G) cellular systems will have an inherent vulnerability to physical (PHY)-
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …
Graph neural networks for anomaly detection in industrial internet of things
The Industrial Internet of Things (IIoT) plays an important role in digital transformation of
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …
A blockchain-based auditable access control system for private data in service-centric IoT environments
Internet of Things (IoT) devices are widely considered in smart cities, intelligent medicine,
and intelligent transportation, among other fields that facilitate people's lives, producing a …
and intelligent transportation, among other fields that facilitate people's lives, producing a …
Data fusion approach for collaborative anomaly intrusion detection in blockchain-based systems
Blockchain technology is rapidly changing the transaction behavior and efficiency of
businesses in recent years. Data privacy and system reliability are critical issues that is …
businesses in recent years. Data privacy and system reliability are critical issues that is …
A blockchain-based roadside unit-assisted authentication and key agreement protocol for internet of vehicles
A fundamental layer of smart cities, the Internet of Vehicles (IoV) can significantly improve
transportation efficiency, reduce energy consumption, and traffic accidents. However …
transportation efficiency, reduce energy consumption, and traffic accidents. However …
Circuit copyright blockchain: blockchain-based homomorphic encryption for IP circuit protection
The fast development of Blockchain technology makes it widely applied in several fields of
digital transactions, like e-government affairs and the protection of financial transactions. In …
digital transactions, like e-government affairs and the protection of financial transactions. In …
A traceable and revocable ciphertext-policy attribute-based encryption scheme based on privacy protection
D Han, N Pan, KC Li - IEEE Transactions on Dependable and …, 2020 - ieeexplore.ieee.org
Considered as a promising fine-grained access control mechanism for data sharing without
a centralized trusted third-party, the access policy in a plaintext form may reveal sensitive …
a centralized trusted third-party, the access policy in a plaintext form may reveal sensitive …
A systematic review on Deep Learning approaches for IoT security
The constant spread of smart devices in many aspects of our daily life goes hand in hand
with the ever-increasing demand for appropriate mechanisms to ensure they are resistant …
with the ever-increasing demand for appropriate mechanisms to ensure they are resistant …
A mutual security authentication method for RFID-PUF circuit based on deep learning
The Industrial Internet of Things (IIoT) is designed to refine and optimize the process
controls, thereby leveraging improvements in economic benefits, such as efficiency and …
controls, thereby leveraging improvements in economic benefits, such as efficiency and …