Enhancing Privacy in the Advanced Metering Infrastructure: Efficient Methods, the Role of Data Characteristics and Applications
Doctoral thesis, 2017
intrusion detection
applied differential privacy
data privacy
Advanced Metering Infrastructure
communication security
data characteristics
system security
Author
Valentin Tudor
Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)
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 in 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 in proceeding
Harnessing the unknown in advanced metering infrastructure traffic
SAC '15 Proceedings of the 30th Annual ACM Symposium on Applied Computing,;(2015)p. 2204-2211
Paper in proceeding
Analysis of the Impact of Data Granularity on Privacy for the Smart Grid
1st ACM Workshop on Language Support for Privacy-Enhancing Technologies, PETShop 2013 - Co-located with the 20th ACM Conference on Computer and Communications Security, CCS 2013; Berlin; Germany; 4 November 2013 through 4 November 2013,;(2013)p. 61-70
Paper in proceeding
A study on data de-pseudonymization in the smart grid
8th European Workshop on System Security, EuroSec 2015; Bordeaux, France,;(2015)
Paper in proceeding
Areas of Advance
Energy
Subject Categories
Communication Systems
Media Engineering
Electrical Engineering, Electronic Engineering, Information Engineering
Computer Systems
ISBN
978-91-7597-632-7
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 4313
Publisher
Chalmers
Room EC, EDIT Building
Opponent: Simone Fischer-Hübner, University of Karlstad, Sweden