Cascading failures in internet of things: review and perspectives on reliability and resilience
L Xing - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
In the Internet of Things (IoT), various devices operate collaboratively in collecting data,
relaying information to one another, and processing information intelligently. Due to …
relaying information to one another, and processing information intelligently. Due to …
Cascading Failure in Cyber–Physical Systems: A Review on Failure Modeling and Vulnerability Analysis
Cascading failures pose a significant security threat to networked systems, with recent
global incidents underscoring their destructive potential. The security threat of cascading …
global incidents underscoring their destructive potential. The security threat of cascading …
能源-交通-信息三网融合发展的需求, 形态及关键技术
何正友， 向悦萍， 廖凯， 杨健维 - 电力系统自动化, 2021 - epjournal.csee.org.cn
当前中国正处于经济社会由高速发展向高质量发展转型的关键时期, 先进的信息通信技术赋能
能源与交通传统行业. 能源网, 交通网, 信息网三网融合发展, 将有力推动能源转型和交通强国的 …
能源与交通传统行业. 能源网, 交通网, 信息网三网融合发展, 将有力推动能源转型和交通强国的 …
Open dnn box by power side-channel attack
Deep neural networks are becoming popular and important assets of many AI companies.
However, recent studies indicate that they are also vulnerable to adversarial attacks …
However, recent studies indicate that they are also vulnerable to adversarial attacks …
A sequential black-start restoration model for resilient active distribution networks
This letter presents a novel sequential black-start restoration model to improve the system
resilience after a natural disaster in an active distribution network. Two challenges have …
resilience after a natural disaster in an active distribution network. Two challenges have …
On-chain analysis-based detection of abnormal transaction amount on cryptocurrency exchanges
Cryptocurrency exchanges play an indispensable role in the cryptocurrency market.
However, some exchanges are suspected to be involved in various abnormal or malicious …
However, some exchanges are suspected to be involved in various abnormal or malicious …
Ethereum transaction tracking: Inferring evolution of transaction networks via link prediction
Blockchain is an emerging technology which has attracted wide attention in recent years. As
one of the blockchain applications, cryptocurrency has developed rapidly in recent years …
one of the blockchain applications, cryptocurrency has developed rapidly in recent years …
Analysis of Q-learning like algorithms through evolutionary game dynamics
Y Shi, Z Rong - IEEE Transactions on Circuits and Systems II …, 2022 - ieeexplore.ieee.org
Based on two-player two-action and three-action game models, this brief studies the
dynamics of Q-learning and Frequency Adjusted Q-(FAQ-) learning algorithms in multi-agent …
dynamics of Q-learning and Frequency Adjusted Q-(FAQ-) learning algorithms in multi-agent …
Integrating reinforcement learning and optimal power dispatch to enhance power grid resilience
Q Li, X Zhang, J Guo, X Shan, Z Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Power grids are vulnerable to extreme events that may cause the failure of multiple
components and lead to severe power outages. It is of practical importance to design …
components and lead to severe power outages. It is of practical importance to design …
Ethereum account classification based on graph convolutional network
Accounts in Ethereum are found to be involved in various services or businesses. Account
classification can help us detect illegal behavior, track transactions, and de-anonymize the …
classification can help us detect illegal behavior, track transactions, and de-anonymize the …