Secure multi-party consensus gossip algorithms
| Autor: | Riccardo Lazzeretti, Steven Horn, Peter Willett, Paolo Braca |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Binary decision diagram
business.industry Gossip algorithms Computer science Computation Extension (predicate logic) Encryption Computer security computer.software_genre Consensus algorithms detection secure multiparty computation information fusion encryption Domain (software engineering) Secure two-party computation business computer |
| Zdroj: | ICASSP |
| DOI: | 10.1109/icassp.2014.6855039 |
| Popis: | Information fusion is the keystone of many surveillance systems, in which the security of the information is a crucial aspect. This paper proposes a method to fuse information exchanging only encrypted data, through a secure extension of the popular consensus gossip algorithm using secure multi-party computation methodology. Sensor entities exchange only encrypted information and never have direct access to the data while iteratively reaching consensus. The agents do not have access to the final value and can just retrieve partial information, for instance a binary decision. An innovative implementation of the consensus algorithm in the encrypted domain is proposed and analyzed. |
| Databáze: | OpenAIRE |
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