A Time-Sensitive Model for Data Tampering Detection for the Advanced Metering Infrastructure

Abstract. Smart Grids offer multiple benefits: efficient energy provision, quicker recoveries from failures, etc. Nevertheless, there is risk of data tampering, unsolicited modification of the data of the smart meters. The necessity then is to provide a model for processing the smart meter data that flags any energy consumption level that could be indication of data tampering. The proposed model is time-sensitive, allowing for tracking the energy usage along time, thus making possible the detection of long-lasting abnormal levels of energy consumption. Such model can be integrated in an anomaly detection system and in a semantic web reasoner.

Speaker:  José Miguel Blanco Sánchez

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Adapting Agile for Research Laboratory

Abstract. Application of agile frameworks outside of the Software Engineering industry, where they are now a proven standard, is getting growing traction. Based on study of Agile in general and an in-depth analysis of six relevant case studies, we propose a lightweight agile process applicable in research groups in academia. We then present a case study of the Laboratory of Service Systems at Faculty of Informatics, Masaryk University, where we have successfully implemented it to significantly improve quality of advisory meetings (p=0.011), motivation of students (p=0.033), affinity to actively represent the laboratory (p=0.007), and overall satisfaction with membership (p=0.020), as indicated by anonymous attitude surveys of laboratory members.

Speaker: Filip Svoboda