作者: Rohan Chabukswar , Henrik Sandberg , Menouer Boubekeur , Alie El-Din Mady , Andre Teixeira
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摘要: Energy management systems (EMS) are used to control energy usage in buildings and campuses, by employing technologies such as supervisory data acquisition (SCADA) building (BMS), order provide reliable supply maximise user comfort while minimising usage. Historically, EMS were installed when potential security threats only physical. Nowadays, connected the network a result directly outside world. This extends attack surface sophisticated cyber-attacks, which adversely impact operation, resulting service interruption downstream financial implications. Currently, that detect attacks operate independently those deploy resiliency policies use very basic methods. We propose novel cyber-physical-security framework executes resilient policy whenever an is detected using analytics. In this framework, both analytics driven data, where physical correlations between data-points identified outliers then loop closed estimated value place of outlier. The has been tested reduced model real site.