nach oben

Erschienen in:

2017 | OriginalPaper | Buchkapitel

Secure Image Denoising over Two Clouds

verfasst von : Xianjun Hu, Weiming Zhang, Honggang Hu, Nenghai Yu

Erschienen in: Image and Graphics

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Multimedia processing with cloud is prevalent now, which the cloud server can provide abundant resources to processing various multimedia processing tasks. However, some privacy issues must be considered in cloud computing. For a secret image, the image content should be kept secret while conducting the multimedia processing in the cloud. Multimedia processing in the encrypted domain is essential to protect the privacy in cloud computing. Hu et al. proposed a novel framework to perform complex image processing algorithms in encrypted images with two cryptosystems: additive homomorphic encryption and privacy preserving transform. The additive homomorphic cryptosystem used in their scheme causes huge ciphertext expansion and greatly increases the cloud’s computation. In this paper, we modified their framework to a two-cloud scheme, and also implemented the random nonlocal means denoising algorithm. The complexity analysis and simulation results demonstrate that our new scheme is more efficient than Hu’s under the same denoising performance.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel A Quality Evaluation Scheme to 3D Printing Objects Using Stereovision Measurement

Nächstes Kapitel Aesthetic Quality Assessment of Photos with Faces

http://prisma-ai.com/.

https://artisto.my.com/.

Two verifiable multi secret sharing schemes based on nonhomogeneous linear recursion and LFSR public-key cryptosystem. Inf. Sci. 294, 31–40 (2015). Innovative Applications of Artificial Neural Networks in Engineering

Aguilar-Melchor, C., Fau, S., Fontaine, C., Gogniat, G., Sirdey, R.: Recent advances in homomorphic encryption: a possible future for signal processing in the encrypted domain. IEEE Signal Process. Mag. 30(2), 108–117 (2013)CrossRef

Barak, B., Sahai, A.: How to play almost any mental game over the net - concurrent composition via super-polynomial simulation. In: 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2005), pp. 543–552, October 2005

Ben-Or, M., Goldwasser, S., Wigderson, A.: Completeness theorems for non-cryptographic fault-tolerant distributed computation. In: Proceedings of the Twentieth Annual ACM Symposium on Theory of Computing, STOC 1988, pp. 1–10 (1988)

Benaloh, J.C.: Secret sharing homomorphisms: keeping shares of a secret secret (Extended abstract). In: Odlyzko, A.M. (ed.) CRYPTO 1986. LNCS, vol. 263, pp. 251–260. Springer, Heidelberg (1987). https://doi.org/10.1007/3-540-47721-7_19 CrossRef

Bianchi, T., Piva, A., Barni, M.: On the implementation of the discrete fourier transform in the encrypted domain. IEEE Trans. Inf. Forensics Secur. 4(1), 86–97 (2009)CrossRef

Bianchi, T., Piva, A., Barni, M.: Composite signal representation for fast and storage-efficient processing of encrypted signals. IEEE Trans. Inf. Forensics Secur. 5(1), 180–187 (2010)CrossRef

Bianchi, T., Piva, A., Barni, M.: Encrypted domain DCT based on homomorphic cryptosystems. EURASIP J. Inf. Secur. 2009(1), 716357 (2009)CrossRef

Blakley, G.R.: Safeguarding cryptographic keys. In: Proceedings of the National Computer Conference 1979, vol. 48, pp. 313–317 (1979)

10.

Brakerski, Z., Vaikuntanathan, V.: Efficient fully homomorphic encryption from (standard) LWE. In: 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science, pp. 97–106, October 2011

11.

Brakerski, Z.: Fully homomorphic encryption without modulus switching from classical GapSVP. In: Safavi-Naini, R., Canetti, R. (eds.) CRYPTO 2012. LNCS, vol. 7417, pp. 868–886. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-32009-5_50 CrossRef

12.

Buades, A., Coll, B., Morel, J.M.: A review of image denoising algorithms, with a new one. Multiscale Model. Simul. 4(2), 490–530 (2005)MathSciNetCrossRefMATH

13.

Buades, A., Coll, B., Morel, J.M.: A non-local algorithm for image denoising. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005. CVPR 2005, vol. 2, pp. 60–65. IEEE (2005)

14.

Chan, S.H., Zickler, T., Lu, Y.M.: Monte carlo non-local means: random sampling for large-scale image filtering. IEEE Trans. Image Process. 23(8), 3711–3725 (2014)MathSciNetCrossRefMATH

15.

Check, H.E.: Cloud cover protects gene data. Nature 519(7544), 400 (2015)CrossRef

16.

Cramer, R., Damgård, I., Maurer, U.: General secure multi-party computation from any linear secret-sharing scheme. In: Preneel, B. (ed.) EUROCRYPT 2000. LNCS, vol. 1807, pp. 316–334. Springer, Heidelberg (2000). https://doi.org/10.1007/3-540-45539-6_22 CrossRef

17.

van Dijk, M., Gentry, C., Halevi, S., Vaikuntanathan, V.: Fully homomorphic encryption over the integers. In: Gilbert, H. (ed.) EUROCRYPT 2010. LNCS, vol. 6110, pp. 24–43. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-13190-5_2 CrossRef

18.

Elgamal, T.: A public key cryptosystem and a signature scheme based on discrete logarithms. IEEE Trans. Inf. Theory 31(4), 469–472 (1985)MathSciNetCrossRefMATH

19.

Feldman, P.: A practical scheme for non-interactive verifiable secret sharing. In: 28th Annual Symposium on Foundations of Computer Science (SFCS 1987), pp. 427–438, October 1987

20.

Gentry, C.: A fully homomorphic encryption scheme. Ph.D. thesis, Stanford University (2009)

21.

Goldreich, O., Micali, S., Wigderson, A.: How to play any mental game. In: Proceedings of the Nineteenth Annual ACM Symposium on Theory of Computing, STOC 1987, pp. 218–229 (1987)

22.

Hirt, M., Nielsen, J.B.: Robust multiparty computation with linear communication complexity. In: Dwork, C. (ed.) CRYPTO 2006. LNCS, vol. 4117, pp. 463–482. Springer, Heidelberg (2006). https://doi.org/10.1007/11818175_28 CrossRef

23.

Hu, X., Zhang, W., Hu, H., Yu, N.: Non-local denoising in encrypted images. In: Hsu, R.C.-H., Wang, S. (eds.) IOV 2014. LNCS, vol. 8662, pp. 386–395. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11167-4_38

24.

Hu, X., Zhang, W., Li, K., Hu, H., Yu, N.: Secure nonlocal denoising in outsourced images. ACM Trans. Multimedia Comput. Commun. Appl. 12(3), 40:1–40:23 (2016)

25.

Johnson, W.B., Lindenstrauss, J.: Extensions of lipschitz mappings into a hilbert space. Contemp. Math. 26(189–206), 1 (1984)MathSciNetMATH

26.

Kenthapadi, K., Korolova, A., Mironov, I., Mishra, N.: Privacy via the johnson-lindenstrauss transform. arXiv preprint arXiv:1204.2606 (2012)

27.

Lathey, A., Atrey, P.K.: Image enhancement in encrypted domain over cloud. ACM Trans. Multimedia Comput. Commun. Appl. 11(3), 38:1–38:24 (2015)CrossRef

28.

Mohanty, M., Atrey, P., Ooi, W.T.: Secure cloud-based medical data visualization. In: Proceedings of the 20th ACM International Conference on Multimedia, MM 2012, pp. 1105–1108 (2012)

29.

Nuida, K., Kurosawa, K.: (Batch) Fully homomorphic encryption over integers for non-binary message spaces. In: Oswald, E., Fischlin, M. (eds.) EUROCRYPT 2015. LNCS, vol. 9056, pp. 537–555. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-662-46800-5_21

30.

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). https://doi.org/10.1007/3-540-48910-X_16 CrossRef

31.

Pedrouzo-Ulloa, A., Troncoso-Pastoriza, J.R., Prez-Gonzlez, F.: Image denoising in the encrypted domain. In: 2016 IEEE International Workshop on Information Forensics and Security (WIFS), pp. 1–6, December 2016

32.

Rivest, R.L., Adleman, L., Dertouzos, M.L.: On data banks and privacy homomorphisms. Found. Secur. Comput. 4(11), 169–180 (1978)MathSciNet

33.

SaghaianNejadEsfahani, S.M., Luo, Y., c. S. Cheung, S.: Privacy protected image denoising with secret shares. In: 2012 19th IEEE International Conference on Image Processing, pp. 253–256, September 2012

34.

Shamir, A.: How to share a secret. Commun. ACM 22(11), 612–613 (1979)MathSciNetCrossRefMATH

35.

Talebi, H., Milanfar, P.: Global image denoising. IEEE Trans. Image Process. 23(2), 755–768 (2014)MathSciNetCrossRefMATH

36.

Troncoso-Pastoriza, J.R., Prez-Gonzlez, F.: Fully homomorphic faces. In: 2012 19th IEEE International Conference on Image Processing, pp. 2657–2660, September 2012

37.

Yao, A.C.: Protocols for secure computations. In: 23rd Annual Symposium on Foundations of Computer Science (SFCS 1982), pp. 160–164, November 1982

38.

Zheng, P., Huang, J.: Discrete wavelet transform and data expansion reduction in homomorphic encrypted domain. IEEE Trans. Image Process. 22(6), 2455–2468 (2013)MathSciNetCrossRefMATH

39.

Zheng, P., Huang, J.: Implementation of the discrete wavelet transform and multiresolution analysis in the encrypted domain. In: Proceedings of the 19th ACM International Conference on Multimedia, MM 2011, pp. 413–422 (2011)

40.

Zheng, P., Huang, J.: Walsh-hadamard transform in the homomorphic encrypted domain and its application in image watermarking. In: Kirchner, M., Ghosal, D. (eds.) IH 2012. LNCS, vol. 7692, pp. 240–254. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-36373-3_16 CrossRef

41.

Zheng, Y., Cui, H., Wang, C., Zhou, J.: Privacy-preserving image denoising from external cloud databases. IEEE Trans. Inf. Forensics Secur. 12(6), 1285–1298 (2017)CrossRef

Titel: Secure Image Denoising over Two Clouds
verfasst von: Xianjun Hu
Weiming Zhang
Honggang Hu
Nenghai Yu
Verlag: Springer International Publishing
Buch: Image and Graphics
Print ISBN: 978-3-319-71597-1

Electronic ISBN: 978-3-319-71598-8

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-71598-8_42

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"