Meng Yue, Ph.D.
Affiliations: | 2002 | Michigan State University, East Lansing, MI |
Area:
Electronics and Electrical EngineeringGoogle:
"Meng Yue"Parents
Sign in to add mentor| Robert A. Schlueter | grad student | 2002 | Michigan State | |
| (Bifurcation subsystem method and its applications in analysis and control design for power systems.) | ||||
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Publications
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| Liu L, Feng W, Wu Z, et al. (2020) The Detection Method of Collusive Interest Flooding Attacks Based on Prediction Error in NDN Ieee Access. 8: 128005-128017 |
| Liu L, Wang H, Wu Z, et al. (2020) The detection method of low-rate DoS attack based on multi-feature fusion Digital Communications and Networks |
| Wu Z, Feng W, Yue M, et al. (2020) Mitigation measures of collusive interest flooding attacks in named data networking Computers & Security. 97: 101971 |
| Yue M, Hong T, Wang J. (2019) Descriptive Analytics-Based Anomaly Detection for Cybersecure Load Forecasting Ieee Transactions On Smart Grid. 10: 5964-5974 |
| Cui M, Wang J, Yue M. (2019) Machine Learning-Based Anomaly Detection for Load Forecasting Under Cyberattacks Ieee Transactions On Smart Grid. 10: 5724-5734 |
| Li Y, Zhang P, Althoff M, et al. (2019) Distributed Formal Analysis for Power Networks With Deep Integration of Distributed Energy Resources Ieee Transactions On Power Systems. 34: 5147-5156 |
| Wu Z, Pan Q, Yue M, et al. (2019) Sequence alignment detection of TCP-targeted synchronous low-rate DoS attacks Computer Networks. 152: 64-77 |
| Yue M, Toto T, Jensen MP, et al. (2018) A Bayesian Approach-Based Outage Prediction in Electric Utility Systems Using Radar Measurement Data Ieee Transactions On Smart Grid. 9: 6149-6159 |
| Lee SJ, Lee SH, Chu T, et al. (2018) Bayesian Belief Network Model Quantification Using Distribution-Based Node Probability and Experienced Data Updates for Software Reliability Assessment Ieee Access. 6: 64556-64568 |
| Kang HG, Lee SH, Lee SJ, et al. (2018) Development of a Bayesian belief network model for software reliability quantification of digital protection systems in nuclear power plants Annals of Nuclear Energy. 120: 62-73 |