Yao Liu
Control and Systems Engineering · Conference on Computer and Communications Security · 2009–2014
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 12 citations into it; #976 of 8,257 by trust here, #673 by citations
- Electrical and Electronic Engineering — 9 citations into it; #1,773 of 16,539 by trust here, #4,712 by citations
- Artificial Intelligence — 7 citations into it; #17,290 of 35,345 by trust here, #18,586 by citations
- Computer Networks and Communications — 7 citations into it; #1,978 of 9,886 by trust here, #1,446 by citations
Whom Yao Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Carl Dean Meyer
- Thomas Blumensath
- Ali Abur
- Edoardo Amaldi
- Henrik Sandberg
- M. Davies
- Viggo Kann
- Michael K. Reiter
- Paolo Crucitti
- György Dán
Who trusts Yao Liu overall
- André M. H. Teixeira
- Henrik Sandberg
- Jairo Alonso Giraldo
- Fabio Pasqualetti
- Gabriela Hug
- Md. Ashfaqur Rahman
- Chen Peng
- Gaoqi Liang
- Cheolhyeon Kwon
- Saleh Soltan
Papers from Yao Liu's perspective
Ordered by how strongly the researchers Yao Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- On Security Indices for State Estimators in Power Networks
- Power system state estimation : theory and implementation
- False data injection attacks against state estimation in electric power grids (Conference on Computer and Communications Security)
- Stealth Attacks and Protection Schemes for State Estimators in Power Systems (2010 First IEEE International Conference on Smart Grid Communications)
- Detecting False Data Injection Attacks on DC State Estimation
- Gradient Pursuits (IEEE Transactions on Signal Processing)
- Safe and Secure Networked Control Systems under Denial-of-Service Attacks (International Conference on Hybrid Systems: Computation and Control)
- A Static State Estimation Approach Including Bad Data Detection and Identification in Power Systems (IEEE Power Engineering Society General Meeting)
- Modeling cascading failures in the North American power grid
- A Lightweight Message Authentication Scheme for Smart Grid Communications (IEEE Transactions on Smart Grid)
Their papers
- Detection of Faults and Attacks Including False Data Injection Attack in Smart Grid Using Kalman Filter (2014) — 711 citations
- False data injection attacks against state estimation in electric power grids (2009) — 2,100 citations
- False data injection attacks against state estimation in electric power grids (2011) — 1,365 citations