| Title | Security and Privacy for Smart Meters: A Data-Driven Mapping Study |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Antoniadis, I. I., Chatzidimitriou, K. C., Symeonidis, A. L. |
| Conference Name | 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) |
| Keywords | Collaboration, composability, data privacy, data-driven analysis, data-driven mapping study, energy consumer, general smart grid paradigm, Human Behavior, Metrics, policy-based governance, power engineering computing, privacy, privacy related issues, privacy techniques, pubcrawl, resilience, Resiliency, Scalability, security, Smart grid, smart grid consumer privacy, smart metering systems, smart meters, smart power grids, topic modeling, topic modeling techniques |
| Abstract | Smart metering systems have been gaining popularity as a vital part of the general smart grid paradigm. Naturally, as new technologies arise to cover this emerging field, so do security and privacy related issues regarding the energy consumer's personal data. These challenges impose the need for the development of new methods through a better understanding of the state-of-the-art. This paper aims at identifying the main categories of security and privacy techniques utilized in smart metering systems from a three-point perspective: i) a field research survey, ii) EU initiatives and findings towards the same direction and iii) a data-driven analysis of the state-of-the-art and the identification of its main topics (or themes) using topic modeling techniques. Detailed quantitative results of this analysis, such as semantic interpretation of the identified topics and a graph representation of the topic trends over time, are presented. |
| DOI | 10.1109/ISGTEurope.2019.8905611 |
| Citation Key | antoniadis_security_2019 |
Security and Privacy for Smart Meters: A Data-Driven Mapping Study