Signal processing tools working on encrypted data provide an effi- cient solution when sensitive signals must be protected from an untrusted processing device. In this paper, we investigate an issue usually neglected in the proposed solutions for secure signal processing, that is the huge size augmentation from the plaintext to the samplewise encrypted representation of signals, due to the use of cryptosystems operating on very large algebraic structures. A composite signal representation is proposed that allows to speed up linear filtering on encrypted signals via parallel processing and to reduce the size of encrypted signals. A case study is proposed and discussed

Efficient Linear Filtering of Encrypted Signals via Composite Representation / T. Bianchi; A. Piva; M. Barni. - ELETTRONICO. - (2009), pp. 0-0. (Intervento presentato al convegno 16th International Conference on Digital Signal Processing DSP2009 tenutosi a Santorini, Greece nel July 5-7, 2009) [10.1109/ICDSP.2009.5201116].

Efficient Linear Filtering of Encrypted Signals via Composite Representation

PIVA, ALESSANDRO;
2009

Abstract

Signal processing tools working on encrypted data provide an effi- cient solution when sensitive signals must be protected from an untrusted processing device. In this paper, we investigate an issue usually neglected in the proposed solutions for secure signal processing, that is the huge size augmentation from the plaintext to the samplewise encrypted representation of signals, due to the use of cryptosystems operating on very large algebraic structures. A composite signal representation is proposed that allows to speed up linear filtering on encrypted signals via parallel processing and to reduce the size of encrypted signals. A case study is proposed and discussed
2009
Proceedings 16th International Conference on Digital Signal Processing DSP2009
16th International Conference on Digital Signal Processing DSP2009
Santorini, Greece
July 5-7, 2009
T. Bianchi; A. Piva; M. Barni
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/386587
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