Blockchain based solutions to secure IoT: Background, integration trends and a way forward

S Saxena, B Bhushan, MA Ahad - Journal of Network and Computer …, 2021 - Elsevier
The lack of intrinsic security technologies in the current Internet of Things (IoT) systems
brings forth numerous security vulnerabilities and privacy risks. To this end, a distributed and …

Survey on blockchain for Internet of Things

X Wang, X Zha, W Ni, RP Liu, YJ Guo, X Niu… - Computer …, 2019 - Elsevier
Abstract The Internet of Things (IoT) is poised to transform human life and unleash
enormous economic benefit. However, inadequate data security and trust of current IoT are …

A survey on the detection algorithms for false data injection attacks in smart grids

AS Musleh, G Chen, ZY Dong - IEEE Transactions on Smart …, 2019 - ieeexplore.ieee.org
Cyber-physical attacks are the main substantial threats facing the utilization and
development of the various smart grid technologies. Among these attacks, false data …

A deep and scalable unsupervised machine learning system for cyber-attack detection in large-scale smart grids

H Karimipour, A Dehghantanha, RM Parizi… - Ieee …, 2019 - ieeexplore.ieee.org
Smart grid technology increases reliability, security, and efficiency of the electrical grids.
However, its strong dependencies on digital communication technology bring up new …

A survey on security communication and control for smart grids under malicious cyber attacks

C Peng, H Sun, M Yang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Smart grids (SGs), which can be classified into a class of networked distributed control
systems, are designed to deliver electricity from various plants through a communication …

Amalgamation of blockchain and IoT for smart cities underlying 6G communication: A comprehensive review

A Kumari, R Gupta, S Tanwar - Computer Communications, 2021 - Elsevier
Nowadays, increasing urbanization has necessitated the social, environmental, and
economic development of cities to enhance the Quality of Life (QoL) significantly and …

Online false data injection attack detection with wavelet transform and deep neural networks

JQ James, Y Hou, VOK Li - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
State estimation is critical to the operation and control of modern power systems. However,
many cyber-attacks, such as false data injection attacks, can circumvent conventional …

Detecting false data attacks using machine learning techniques in smart grid: A survey

L Cui, Y Qu, L Gao, G Xie, S Yu - Journal of Network and Computer …, 2020 - Elsevier
The big data sources in smart grid (SG) enable utilities to monitor, control, and manage the
energy system effectively, which is also promising to advance the efficiency, reliability, and …

Machine learning-based intrusion detection for smart grid computing: A survey

N Sahani, R Zhu, JH Cho, CC Liu - ACM Transactions on Cyber-Physical …, 2023 - dl.acm.org
Machine learning (ML)-based intrusion detection system (IDS) approaches have been
significantly applied and advanced the state-of-the-art system security and defense …

Cyber-security of smart microgrids: A survey

F Nejabatkhah, YW Li, H Liang, R Reza Ahrabi - Energies, 2020 - mdpi.com
In this paper, the cyber-security of smart microgrids is thoroughly discussed. In smart grids,
the cyber system and physical process are tightly coupled. Due to the cyber system's …