Optimizing DoS attack energy with imperfect acknowledgments and energy harvesting constraints in cyber-physical systems
Work
Year: 2020
Type: article
Authors Yunbo Song, Dan Ye
Institutions Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries
Cites: 48
Cited by: 11
Related to: 10
FWCI: 0.865
Citation percentile (by year/subfield): 60.55
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Affordable and clean energy
Open Access status: closed
Funders National Natural Science Foundation of China, National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Grant IDS U1813214, 61773097, N2004027