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Wang, C. (author), Tindemans, Simon H. (author), Pan, K. (author), Palensky, P. (author)State estimation is of considerable significance for the power system operation and control. However, well-designed false data injection attacks can utilize blind spots in conventional residual-based bad data detection methods to manipulate measurements in a coordinated manner and thus affect the secure operation and economic dispatch of grids....conference paper 2020
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Wang, C. (author), Pan, K. (author), Tindemans, Simon H. (author), Palensky, P. (author)The security of energy supply in a power grid critically depends on the ability to accurately estimate the state of the system. However, manipulated power flow measurements can potentially hide overloads and bypass the bad data detection scheme to interfere the validity of estimated states. In this paper, we use an autoencoder neural network to...conference paper 2020
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Pan, K. (author), Gusain, D. (author), Palensky, P. (author)The evolved smart grid has become a cyber physical energy system that could be exposed to a massive amount of cyber threats. Vulnerabilities within the cyber part can be used to launch multiple types of attacks that corrupt the physical system. The complexity of cyber physical energy system, the existing of different kinds of attacks, require...conference paper 2019
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Pan, K. (author), Herdeiro Teixeira, A.M. (author), López, Claudio (author), Palensky, P. (author)It is challenging to assess the vulnerability of a cyber-physical power system to data attacks from an integral perspective. In order to support vulnerability assessment except analytic analysis, suitable platform for security tests needs to be developed. In this paper we analyze the cyber security of energy management system (EMS) against data...conference paper 2018