Differential privacy for real smart metering data

@article{Eibl2016DifferentialPF,
  title={Differential privacy for real smart metering data},
  author={G{\"u}nther Eibl and Dominik Engel},
  journal={Computer Science - Research and Development},
  year={2016},
  volume={32},
  pages={173-182}
}
The collection of detailed consumption data through smart metering has led to privacy concerns. Aggregating the consumption data over a number of smart meters can be used to strike a balance between functional and privacy requirements. A number of contributions have proposed the use of differential privacy in smart metering to perturb aggregates in order to provide a proven privacy property for end consumers. However, as differential privacy has originally been proposed for very large datasets… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 21 references

A (2014) The algorithmic foundations of differential privacy

C Dwork, Roth
Found Trends Theor Comput Sci • 2013
View 3 Excerpts
Highly Influenced

A Privacy Model for Smart Metering

2010 IEEE International Conference on Communications Workshops • 2010
View 3 Excerpts
Highly Influenced

Efficient, verifiable, secure, and privacy-friendly computations for the smart grid

2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) • 2015

Influence of Data Granularity on Smart Meter Privacy

IEEE Transactions on Smart Grid • 2015
View 1 Excerpt

Private data aggregation with groups for smart grids in a dynamic setting using CRT

2015 IEEE International Workshop on Information Forensics and Security (WIFS) • 2015

The algorithmic foundations of differential privacy

G Eibl, D Engel
Found Trends Theor Comput Sci • 2014

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