Compressed Sensing enables both computationally secure encryption and signal processing in the compressed domain. Even though these characteristics have always been considered in separate fashion, in this paper we propose a novel method that takes into account these features jointly. As a result we obtain provable secrecy guarantees and enable fast signal processing. In more detail, we show that it is possible to perform anomaly detection relying on the measurements information leakage. At the same time, we can prevent attackers trying to obtain confidential data by obfuscating the information leakage. We show the effectiveness of such method through theoretical bounds and numerical experiments.

Energy obfuscation for compressive encryption and processing / Testa, Matteo; Bianchi, Tiziano; Magli, Enrico. - ELETTRONICO. - (2017), pp. 1-6. (Intervento presentato al convegno 2017 IEEE Workshop on Information Forensics and Security (WIFS) tenutosi a Rennes, France nel 4-7 December 2017) [10.1109/WIFS.2017.8267649].

Energy obfuscation for compressive encryption and processing

Testa, Matteo;Bianchi, Tiziano;Magli, Enrico
2017

Abstract

Compressed Sensing enables both computationally secure encryption and signal processing in the compressed domain. Even though these characteristics have always been considered in separate fashion, in this paper we propose a novel method that takes into account these features jointly. As a result we obtain provable secrecy guarantees and enable fast signal processing. In more detail, we show that it is possible to perform anomaly detection relying on the measurements information leakage. At the same time, we can prevent attackers trying to obtain confidential data by obfuscating the information leakage. We show the effectiveness of such method through theoretical bounds and numerical experiments.
2017
978-1-5090-6769-5
File in questo prodotto:
File Dimensione Formato  
testa_WIFS17_OA.pdf

accesso aperto

Descrizione: Articolo versione autore
Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: Pubblico - Tutti i diritti riservati
Dimensione 279.53 kB
Formato Adobe PDF
279.53 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2701940
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo