Enhancing Privacy in the Advanced Metering Infrastructure: Efficient Methods, the Role of Data Characteristics and Applications
Doktorsavhandling, 2017
Advanced Metering Infrastructure
intrusion detection
applied differential privacy
data privacy
system security
communication security
data characteristics
Författare
Valentin Tudor
Chalmers, Data- och informationsteknik, Nätverk och system
BES - Differentially Private and Distributed Event Aggregation in Advanced Metering Infrastructures
2nd ACM Cyber-Physical System Security Workshop (CPSS 2016),;(2016)p. 59-69
Paper i proceeding
Employing Private Data in AMI Applications: Short Term Load Forecasting Using Differentially Private Aggregated Data
The 13th IEEE International Conference on Advanced and Trusted Computing, Toulouse, France, 18-21 July 2016,;(2017)p. 404-413
Paper i proceeding
Harnessing the unknown in advanced metering infrastructure traffic
SAC '15 Proceedings of the 30th Annual ACM Symposium on Applied Computing,;Vol. 13-17-April-2015(2015)p. 2204-2211
Paper i proceeding
Analysis of the Impact of Data Granularity on Privacy for the Smart Grid
Proceedings of the ACM Conference on Computer and Communications Security,;(2013)p. 61-70
Paper i proceeding
A study on data de-pseudonymization in the smart grid
8th European Workshop on System Security, EuroSec 2015; Bordeaux, France,;(2015)
Paper i proceeding
Styrkeområden
Energi
Ämneskategorier (SSIF 2025)
Säkerhet, integritet och kryptologi
Ämneskategorier (SSIF 2011)
Kommunikationssystem
Mediateknik
Elektroteknik och elektronik
Datorsystem
ISBN
978-91-7597-632-7
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 4313
Utgivare
Chalmers
Room EC, EDIT Building
Opponent: Simone Fischer-Hübner, University of Karlstad, Sweden