Abstract
Nowadays, with tremendous visual media stored and even processed in the cloud, the privacy of visual media is also exposed to the cloud. In this paper we propose a private face identification method based on sparse representation. The identification is done in a secure way which protects both the privacy of the subjects and the confidentiality of the database. The face identification server in the cloud contains a list of registered faces. The surveillance client captures a face image and require the server to identify if the client face matches one of the suspects, but otherwise reveals no information to neither of the two parties. This is the first work that introduces sparse representation to the secure protocol of private face identification, which reduces the dimension of the face representation vector and avoid the patch based attack of a previous work. Besides, we introduce a secure Euclidean distance algorithm for the secure protocol. The experimental results reveal that the cloud server can return the identification results to the surveillance client without knowing anything about the client face image.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Osadchy, M., Pinkas, B., Jarrous, A., et al.: SCiFI - a system for secure face identification. In: IEEE Symposium on Security and Privacy (S&P), pp. 239–254. IEEE (2010)
Luong, A., Gerbush, M., Waters, B., Grauman, K.: Reconstructing a fragmented face from a cryptographic identification protocol. In: IEEE Workshop on Applications of Computer Vision (WACV), pp. 238–245. IEEE (2013)
Paillier, P.: Public-key cryptosystems based on composite degree residuosity classes. In: Stern, J. (ed.) EUROCRYPT 1999. LNCS, vol. 1592, pp. 223–238. Springer, Heidelberg (1999)
Paillier Cryptosystem. https://en.wikipedia.org/wiki/Paillier_cryptosystem
Oblivious Transfer. https://en.wikipedia.org/wiki/Oblivious_transfer
Wright, J., Ganesh, A., et al.: Robust Face Recognition via Sparse Representation. IEEE Trans. Pattern. Anal. Mach. Intell. 31(2), 210–227 (2008). IEEE
Collection of Facial Images: Faces94. http://cswww.essex.ac.uk/mv/allfaces/faces94.html
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Jin, X., Liu, Y., Li, X., Zhao, G., Chen, Y., Guo, K. (2015). Privacy Preserving Face Identification in the Cloud through Sparse Representation. In: Yang, J., Yang, J., Sun, Z., Shan, S., Zheng, W., Feng, J. (eds) Biometric Recognition. CCBR 2015. Lecture Notes in Computer Science(), vol 9428. Springer, Cham. https://doi.org/10.1007/978-3-319-25417-3_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-25417-3_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25416-6
Online ISBN: 978-3-319-25417-3
eBook Packages: Computer ScienceComputer Science (R0)