Visible to the public Evaluating power system vulnerability to false data injection attacks via scalable optimization

TitleEvaluating power system vulnerability to false data injection attacks via scalable optimization
Publication TypeConference Paper
Year of Publication2016
AuthorsZ. Chu, J. Zhang, O. Kosut, L. Sankar
Conference Name2016 IEEE International Conference on Smart Grid Communications (SmartGridComm)
Date PublishedNov
Keywords1449080, Algorithm design and analysis, bi-level optimization problem, false data injection cyber-attacks, Generators, IEEE 118-bus system, integer programming, Linear programming, Load flow, lower bounds, mixed-integer linear program, Optimization, physical power flow maximization, Polish system, power system security, power system vulnerability evaluation, scalable optimization, security of data, Smart grids, state estimation, Upper bound, upper bounds, vulnerability assessments, worst-case attack consequences
DOI10.1109/SmartGridComm.2016.7778771
Citation KeyChu2016SmartGridComm