Context-Awareness using Anomaly-based Detectors for Smart Grid Domains

TitleContext-Awareness using Anomaly-based Detectors for Smart Grid Domains
Publication TypeConference Paper
Year of Publication2015
AuthorsC. Alcaraz, L. Cazorla, and G. Fernandez
Conference Name9th International Conference on Risks and Security of Internet and Systems
Volume8924
Pagination17-34
Date Published04/2015
PublisherSpringer International Publishing
Conference LocationTrento
ISBN Number978-3-319-17126-5
KeywordsContext-Awareness, Control systems, Prevention, Smart Grid
Abstract

Anomaly-based detection applied in strongly interdependent systems, like Smart Grids, has become one of the most challenging research areas in recent years. Early detection of anomalies so as to detect and prevent unexpected faults or stealthy threats is attracting a great deal of attention from the scientific community because it offers potential solutions for context-awareness. These solutions can also help explain the conditions leading up to a given situation and help determine the degree of its severity. However, not all the existing approaches within the literature are equally effective in covering the needs of a particular scenario. It is necessary to explore the control requirements of the domains that comprise a Smart Grid, identify, and even select, those approaches according to these requirements and the intrinsic conditions related to the application context, such as technological heterogeneity and complexity. Therefore, this paper analyses the functional features of existing anomaly-based approaches so as to adapt them, according to the aforementioned conditions. The result of this investigation is a guideline for the construction of preventive solutions that will help improve the context-awareness in the control of Smart Grid domains in the near future.

URLhttp://link.springer.com/chapter/10.1007%2F978-3-319-17127-2_2#
DOI10.1007/978-3-319-17127-2_2
Citation Key931
Paper File: 
https://www.nics.uma.es/sites/default/files/papers/931.pdf

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