| Title | Privacy Friendly Aggregation of Smart Meter Readings, Even When Meters Crash |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Hoepman, Jaap-Henk |
| Conference Name | Proceedings of the 2Nd Workshop on Cyber-Physical Security and Resilience in Smart Grids |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4978-9 |
| Keywords | cps privacy, Fault tolerance, Human Behavior, human factors, privacy, privacy friendly aggregation, pubcrawl, Smart grid |
| Abstract | A well studied privacy problem in the area of smart grids is the question of how to aggregate the sum of a set of smart meter readings in a privacy friendly manner, i.e., in such a way that individual meter readings are not revealed to the adversary. Much less well studied is how to deal with arbitrary meter crashes during such aggregation protocols: current privacy friendly aggregation protocols cannot deal with these type of failures. Such failures do happen in practice, though. We therefore propose two privacy friendly aggregation protocols that tolerate such crash failures, up to a predefined maximum number of smart meters. The basic protocol tolerates meter crashes at the start of each aggregation round only. The full, more complex, protocol tolerates meter crashes at arbitrary moments during an aggregation round. It runs in a constant number of phases, cleverly avoiding the otherwise applicable consensus protocol lower bound. |
| URL | http://doi.acm.org/10.1145/3055386.3055389 |
| DOI | 10.1145/3055386.3055389 |
| Citation Key | hoepman_privacy_2017 |
Privacy Friendly Aggregation of Smart Meter Readings, Even When Meters Crash