Más información

CloudSEEP is based on state-of-the-art bleeding edge encryption techniques, which are the product of an actively developed research work. Some of the most recent scientific publications stemming from CloudSEEP are:

  • J. R. Troncoso-Pastoriza, D. González-Jiménez, and F. Pérez-González, “Fully Private Noninteractive Face Verification”, IEEE Transactions on Information Forensics and Security, vol. 8, no. 7, pp. 1101-1114, 2013
  • Z. Erkin, J.R. Troncoso-Pastoriza, R. Lagendijk, and F. Pérez-González, “Privacy-Preserving Data Aggregation in Smart Metering Systems: An Overview”, IEEE Signal Processing Magazine, vol. 30, no. 2, pp. 75-86, 2013
  • J. R. Troncoso-Pastoriza and F. Pérez-González, “Secure Signal Processing in the Cloud: enabling technologies for privacy-preserving multimedia cloud processing”, IEEE Signal Processing Magazine, vol. 30, no. 2, pp. 29-41, 2013
  • J. R. Troncoso-Pastoriza and F. Pérez-González, “Efficient Protocols for Secure Adaptive Filtering”, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prage, Czech Republic, 2011, pp. 5860-5863
  • J. R. Troncoso-Pastoriza and F. Pérez-González, “Secure Adaptive Filtering”, IEEE Transactions on Information Forensics and Security, vol. 6, pp. 469-485, 2011
  • J. R. Troncoso-Pastoriza and F. Pérez-González, “CryptoDSPs for Cloud Privacy”, in International Workshop on Cloud Information System Engineering (CISE), Hong Kong, China, 2010, vol. 6724
  • J. R. Troncoso-Pastoriza and F. Pérez-González, “Secure and Private Medical Clouds using Encrypted Processing”, in Virtual Physiological Human (VPH), Brussels, Belgium, 2010

For more information or access to any of these documents, contact us at cloudseep@scape-project.com.

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