Smart Grid Security Evaluation with a Big Data Use Case
| Title | Smart Grid Security Evaluation with a Big Data Use Case |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Terzi, D. S., Arslan, B., Sagiroglu, S. |
| Conference Name | 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2018) |
| Keywords | attack detection, Big Data, big data security, Big Data techniques, Decision trees, Energy Sector, Metrics, power engineering computing, Power measurement, power system, pubcrawl, resilience, Resiliency, Scalability, security, security of data, Smart grid, smart grid security evaluation, smart grid systems, Smart grids, smart power grids |
| Abstract | Technological developments in the energy sector while offering new business insights, also produces complex data. In this study, the relationship between smart grid and big data approaches have been investigated. After analyzing where the big data techniques and technologies are used in which areas of smart grid systems, the big data technologies used to detect attacks on smart grids have been focused on. Big data analytics produces efficient solutions, but it is more critical to choose which algorithm and metric. For this reason, an application prototype has been proposed using big data approaches to detect attacks on smart grids. The algorithms with high accuracy were determined as 92% with Random Forest and 87% with Decision Tree. |
| URL | https://ieeexplore.ieee.org/document/8372536 |
| DOI | 10.1109/CPE.2018.8372536 |
| Citation Key | terzi_smart_2018 |
- pubcrawl
- smart power grids
- Smart Grids
- smart grid systems
- smart grid security evaluation
- Smart Grid
- security of data
- security
- Scalability
- Resiliency
- resilience
- Attack detection
- power system
- Power measurement
- power engineering computing
- Metrics
- Energy Sector
- Decision trees
- Big Data techniques
- big data security
- Big Data