Encrypted Signal Processing for Privacy Protection

R. (Inald) L. Lagendijk, Zekeriya Erkin, Mauro Barni

    Research output: Contribution to journalArticleProfessional

    204 Citations (Scopus)
    122 Downloads (Pure)

    Abstract

    In recent years, signal processing applications that deal with user-related data have aroused privacy concerns. For instance, face recognition and personalized recommendations rely on privacy-sensitive information that can be abused if the signal processing is executed on remote servers or in the cloud. In this tutorial article, we introduce the fusion of signal processing and cryptography as an emerging paradigm to protect the privacy of users. While service providers cannot access directly the content of the encrypted signals, the data can still be processed in encrypted form to perform the required signal processing task. The solutions for processing encrypted data are designed using cryptographic primitives like homomorphic cryptosystems and secure multiparty computation (MPC).
    Original languageEnglish
    Pages (from-to)82-105
    Number of pages24
    JournalIEEE signal processing magazine
    Volume30
    Issue number1
    DOIs
    Publication statusPublished - Jan 2013

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