Extracto
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
Final del extracto de 17 páginas
- Citar trabajo
- Thomas Hoffmann (Autor), 2014, Methods for data management and data privacy. Private data aggregation, Múnich, GRIN Verlag, https://www.grin.com/document/283874
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