CryptoDSPs for Cloud Privacy

  • Juan Ramón Troncoso-Pastoriza
  • Fernando Pérez-González
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6724)


Signal processing governs almost every audiovisual stimuli that we receive from electronic sources. Recently, concerns about privacy of the processed signals (especially biomedical signals) has been raised, as it has been traditionally overlooked. This fact, together with the advent of Cloud computing and the growing tendency to outsource not only the storage but also the processing of data has created a fundamental need for privacy preserving techniques that protect signals at the Cloud.

We provide a landscape of technologies brought up by the novel discipline of Signal Processing in the Encrypted Domain (SPED), and we show their application to solve Cloud Computing privacy issues, introducing the concept of virtualized CryptoDSPs, as an architecture for implementing SPED technologies on Cloud scenarios.


Cloud Computing Discrete Cosine Transform Cloud Infrastructure Cloud Privacy Homomorphic Encryption 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Juan Ramón Troncoso-Pastoriza
    • 1
  • Fernando Pérez-González
    • 1
    • 2
    • 3
  1. 1.Signal Theory and Communications Dept.University of VigoVigoSpain
  2. 2.GRADIANTVigoSpain
  3. 3.Dept. of Electrical and Computer EngineeringUniversity of New MexicoUSA

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