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.

Secure multi-party consensus gossip algorithms / Lazzeretti, Riccardo; Horn, S; Braca, P; Willett, P.. - (2014), pp. 7406-7410. (Intervento presentato al convegno 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 tenutosi a Florence; Italy) [10.1109/ICASSP.2014.6855039].

Secure multi-party consensus gossip algorithms

LAZZERETTI, RICCARDO
;
2014

Abstract

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.
2014
2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Consensus algorithms; detection; secure multiparty computation; information fusion; encryption
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Secure multi-party consensus gossip algorithms / Lazzeretti, Riccardo; Horn, S; Braca, P; Willett, P.. - (2014), pp. 7406-7410. (Intervento presentato al convegno 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 tenutosi a Florence; Italy) [10.1109/ICASSP.2014.6855039].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/967167
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