Methods for data management and data privacy. Private data aggregation


Seminar Paper, 2014

17 Pages, Grade: 1,0


Excerpt


Table of Contents

1 Introduction
1.1 Smart meters
1.2 Privacy risks
1.3 Private data aggregation
1.4 Adversary model

2 Smart meter requirements
2.1 Cryptographic operations
2.2 Peer-to-Peer communication
2.3 Digital certificates

3 Components for privacy-preserving data aggregation
3.1 Trusted third party
3.2 Secret sharing
3.3 Masking
3.4 Homomorphic encryption

4 Fault-tolerant and privacy-preserving data aggregation
4.1 Proactive fault-tolerant aggregation protocol
4.2 Multiparty computation under multiple keys
4.3 Comparison

5 Conclusion

Excerpt out of 17 pages

Details

Title
Methods for data management and data privacy. Private data aggregation
College
Karlsruhe Institute of Technology (KIT)
Grade
1,0
Author
Year
2014
Pages
17
Catalog Number
V283874
ISBN (eBook)
9783656842576
ISBN (Book)
9783656842583
File size
1209 KB
Language
English
Keywords
Data management, Data Privacy, Private Data Aggregation
Quote paper
Thomas Hoffmann (Author), 2014, Methods for data management and data privacy. Private data aggregation, Munich, GRIN Verlag, https://www.grin.com/document/283874

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