Title :
Secure multi-party consensus gossip algorithms
Author :
Lazzeretti, Riccardo ; Horn, Sean ; Braca, Paolo ; Willett, P.
Author_Institution :
Univ. of Siena, Siena, Italy
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.
Keywords :
cryptography; iterative methods; sensor fusion; binary decision; encrypted data; encrypted information; information fusion; information security; partial information retrieval; secure multiparty computation methodology; secure multiparty consensus gossip algorithms; sensor entities; surveillance systems; Complexity theory; Encryption; Logic gates; Protocols; Signal processing algorithms; Consensus algorithms; detection; encryption; information fusion; secure multiparty computation;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6855039