Advertisement

VeriStream – A Framework for Verifiable Data Streaming

  • Dominique Schöder
  • Mark SimkinEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8975)

Abstract

In a Verifiable Data Streaming (VDS) protocol a computationally weak client outsources his storage to an untrusted storage provider. Later, the client can efficiently append and update data elements in the already outsourced and authenticated data set. Other users can stream arbitrary subsets of the authenticated data and verify their integrity on-the-fly, using the data owner’s public verification key. In this work, we present VeriStream, a fully-fledged framework for verifiable data streaming with integration into Dropbox. At its core, our framework is based upon a novel construction of an authenticated data structure, which is the first one that allows verifiable data streams of unbounded length and at the same time outperforms the best known constructions in terms of bandwidth and computational overhead. We provide a detailed performance evaluation, showing that VeriStreamonly incurs a small bandwidth overhead, while providing various security guarantees, such as freshness, integrity, authenticity, and public verifiability, at the same time.

Keywords

Cloud Storage Data Owner Chunk Size Data Chunk Pseudorandom Function 
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.

Notes

Acknowledgements

Dominique Schröder and Mark Simkin were supported by the German Federal Ministry of Education and Research (BMBF) through funding for the Center for IT-Security, Privacy, and Accountability (CISPA; see www.cispa-security.org). Dominique Schröder is also supported by an Intel Early Career Faculty Honor Program Award.

References

  1. 1.
    Bouncy Castle Crypto APIsGoogle Scholar
  2. 2.
    Ateniese, G., de Medeiros, B.: On the key exposure problem in chameleon hashes. In: Blundo, C., Cimato, S. (eds.) SCN 2004. LNCS, vol. 3352, pp. 165–179. Springer, Heidelberg (2005) CrossRefGoogle Scholar
  3. 3.
    Bellare, M., Ristov, T.: Hash functions from sigma protocols and improvements to VSH. In: Pieprzyk, J. (ed.) ASIACRYPT 2008. LNCS, vol. 5350, pp. 125–142. Springer, Heidelberg (2008) CrossRefGoogle Scholar
  4. 4.
    Benabbas, S., Gennaro, R., Vahlis, Y.: Verifiable delegation of computation over large datasets. In: Rogaway, P. (ed.) CRYPTO 2011. LNCS, vol. 6841, pp. 111–131. Springer, Heidelberg (2011) CrossRefGoogle Scholar
  5. 5.
    Camenisch, J., Kohlweiss, M., Soriente, C.: An accumulator based on bilinear maps and efficient revocation for anonymous credentials. In: Jarecki, S., Tsudik, G. (eds.) PKC 2009. LNCS, vol. 5443, pp. 481–500. Springer, Heidelberg (2009) CrossRefGoogle Scholar
  6. 6.
    Mironov, I.: (Not so) random shuffles of RC4. In: Yung, M. (ed.) CRYPTO 2002. LNCS, vol. 2442, p. 304. Springer, Heidelberg (2002) CrossRefGoogle Scholar
  7. 7.
    Cash, D., Küpçü, A., Wichs, D.: Dynamic proofs of retrievability via oblivious RAM. In: Johansson, T., Nguyen, P.Q. (eds.) EUROCRYPT 2013. LNCS, vol. 7881, pp. 279–295. Springer, Heidelberg (2013) CrossRefGoogle Scholar
  8. 8.
    Catalano, D., Fiore, D.: Vector Commitments and Their Applications. In: Kurosawa, K., Hanaoka, G. (eds.) PKC 2013. LNCS, vol. 7778, pp. 55–72. Springer, Heidelberg (2013) CrossRefGoogle Scholar
  9. 9.
    Erway, C.C., Küpçü, A., Papamanthou, C., Tamassia, R.: Dynamic provable data possession. In: Al-Shaer, E., Jha, S., Keromytis, A.D. (eds.), 16th Conference on Computer and Communications Security, ACM CCS 2009, pp. 213–222. ACM Press, Chicago, Illinois, USA, 9–13 November 2009Google Scholar
  10. 10.
    Gazzoni Filho, D.L., Barreto, P.S.L.M.: Demonstrating data possession and uncheatable data transfer. Cryptology ePrint Archive, Report 2006/150 (2006). http://eprint.iacr.org/
  11. 11.
    Hohenberger, S., Waters, B.: Realizing hash-and-sign signatures under standard assumptions. In: Joux, A. (ed.) EUROCRYPT 2009. LNCS, vol. 5479, pp. 333–350. Springer, Heidelberg (2009) CrossRefGoogle Scholar
  12. 12.
    Krawczyk, H., Rabin, T.: Chameleon signatures. In: ISOC Network and Distributed System Security Symposium - NDSS 2000. The Internet Society, San Diego, California, USA, 2–4 February 2000Google Scholar
  13. 13.
    Black, J.A., Rogaway, P.: A block-cipher mode of operation for parallelizable message authentication. In: Knudsen, L.R. (ed.) EUROCRYPT 2002. LNCS, vol. 2332, p. 384. Springer, Heidelberg (2002) CrossRefGoogle Scholar
  14. 14.
    Martel, C., Nuckolls, G., Devanbu, P., Gertz, M., Kwong, A., Stubblebine, S.G.: A general model for authenticated data structures. Algorithmica 39, 2004 (2001)MathSciNetGoogle Scholar
  15. 15.
    Naor, M., Nissim, K.: Certificate revocation and certificate update. IEEE J. Sel. Areas Commun. 18(4), 561–570 (2000)CrossRefGoogle Scholar
  16. 16.
    Nguyen, L.: Accumulators from bilinear pairings and applications. In: Menezes, A. (ed.) CT-RSA 2005. LNCS, vol. 3376, pp. 275–292. Springer, Heidelberg (2005) CrossRefGoogle Scholar
  17. 17.
    National Institute of Standards and Technology. Recommendation for key management. Special Publication 800–57 Part 1 Rev. 3, NIST (2012). http://www.keylength.com/
  18. 18.
    Papamanthou, C., Shi, E., Tamassia, R., Yi, K.: Streaming authenticated data structures. In: Johansson, T., Nguyen, P.Q. (eds.) EUROCRYPT 2013. LNCS, vol. 7881, pp. 353–370. Springer, Heidelberg (2013) CrossRefGoogle Scholar
  19. 19.
    Papamanthou, C., Tamassia, R.: Time and space efficient algorithms for two-party authenticated data structures. In: Qing, S., Imai, H., Wang, G. (eds.) ICICS 2007. LNCS, vol. 4861, pp. 1–15. Springer, Heidelberg (2007) CrossRefGoogle Scholar
  20. 20.
    Perrig, A., Canetti, R., Song, D.X., Tygar, J.D.: Efficient and secure source authentication for multicast. In: ISOC Network and Distributed System Security Symposium - NDSS 2001, pp. 35–46. The Internet Society, San Diego, California, USA, 7–9 February 2001Google Scholar
  21. 21.
    Perrig, A., Canetti, R., Tygar, J.D., Song, D.X.: Efficient authentication and signing of multicast streams over lossy channels. In: 2000 IEEE Symposium on Security and Privacy, pp. 56–73. IEEE Computer Society Press, Oakland, California, USA (2000)Google Scholar
  22. 22.
    Schröder, D., Schröder, H.: Verifiable data streaming. In: Yu, T., Danezis, G., Gligor, V.D. (eds.) 19th Conference on Computer and Communications Security, ACM CCS 2012, pp. 953–964. ACM Press, Raleigh, NC, USA, 16–18 October 2012Google Scholar
  23. 23.
    Schwarz, T., Miller, E.L.: Store, forget, and check: using algebraic signatures to check remotely administered storage. In: Proceedings of the IEEE International Conference on Distributed Computing Systems (ICDCS 2006), July 2006Google Scholar
  24. 24.
    Shacham, H., Waters, B.: Compact proofs of retrievability. In: Pieprzyk, J. (ed.) ASIACRYPT 2008. LNCS, vol. 5350, pp. 90–107. Springer, Heidelberg (2008) CrossRefGoogle Scholar
  25. 25.
    Manger, J.: A chosen ciphertext attack on RSA Optimal Asymmetric Encryption Padding (OAEP) as standardized in PKCS #1 v2.0. In: Kilian, J. (ed.) CRYPTO 2001. LNCS, vol. 2139, p. 230. Springer, Heidelberg (2001) CrossRefGoogle Scholar
  26. 26.
    Roberto Tamassia and Nikos Triandopoulos. Certification and authentication of data structures. In: AMW (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Saarland UniversitySaarbrückenGermany

Personalised recommendations