Skip to main content
Springer Nature Link
Log in

Distributed and Lazy Auditing of Outsourced Data

  • Conference paper
  • First Online:
Distributed Computing and Internet Technology (ICDCIT 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11969))

  • 1099 Accesses

Abstract

Data outsourcing is useful for ICT organizations who need cost-effective management of resources. Auditing of outsourced data is an essential requirement for the data owner who outsources it to the untrusted third party storage service provider. It is a posterior mechanism for data verification. In this work, we propose a distributed auditing scheme for verifying the integrity of the outsourced data as compare to the existing centralized auditing schemes. To the best of our knowledge, this is the first such scheme uses distributed auditing. The proposed scheme avoids intense computing requirement at the data owner or the auditor. We classify the existing auditing schemes into generic classes, analyze them, and compare them with the proposed scheme. The performance evaluation of the auditing operation in the proposed scheme is carried out and verified with the analytical results.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Barsoum, A., Hasan, A.: Enabling dynamic data and indirect mutual trust for cloud computing storage systems. IEEE Trans. Parallel Distrib. Syst. 24(12), 2375–2385 (2013)

    Article  Google Scholar 

  2. De Capitani Di Vimercati, S., Foresti, S., Jajodia, S., Paraboschi, S., Samarati, P.: Over-encryption: management of access control evolution on outsourced data. In Proceedings of the 33rd International Conference on Very Large Data Bases, pp. 123–134. VLDB endowment (2007)

    Google Scholar 

  3. Arapinis, M., Bursuc, S., Ryan, M.: Privacy-supporting cloud computing by in-browser key translation. J. Comput. Secur. 21(6), 847–880 (2013)

    Article  Google Scholar 

  4. Shacham, H., Waters, B.: Compact proofs of retrievability. In: Pieprzyk, J. (ed.) ASIACRYPT 2008. LNCS, vol. 5350, pp. 90–107. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-89255-7_7

    Chapter  Google Scholar 

  5. Juels, A., Kaliski Jr., B.S.: Pors: proofs of retrievability for large files. In: Proceedings of the 14th ACM Conference on Computer and Communications Security, pp. 584–597. ACM (2007)

    Google Scholar 

  6. Ateniese, G., Di Pietro, R., Mancini, L.V., Tsudik, G.: Scalable and efficient provable data possession. In: Proceedings of the 4th International Conference on Security and Privacy in Communication Netowrks, p. 9. ACM (2008)

    Google Scholar 

  7. Ateniese, G., et al.: Provable data possession at untrusted stores. In: Proceedings of the 14th ACM Conference on Computer and Communications Security, pp. 598–609. ACM (2007)

    Google Scholar 

  8. Ateniese, G., et al.: Remote data checking using provable data possession. ACM Trans. Inf. Syst. Secur. (TISSEC) 14(1), 12 (2011)

    Article  Google Scholar 

  9. Popa, R.A., Lorch, J.R., Molnar, D., Wang, H.J., Zhuang, L.: Enabling security in cloud storage slas with cloudproof. In: USENIX Annual Technical Conference, vol. 242, pp. 355–368 (2011)

    Google Scholar 

  10. Deswarte, Y., Quisquater, J.-J., Saïdane, A.: Remote integrity checking. In: Jajodia, S., Strous, L. (eds.) Integrity and Internal Control in Information Systems VI. IIFIP, vol. 140, pp. 1–11. Springer, Boston, MA (2004). https://doi.org/10.1007/1-4020-7901-X_1

    Chapter  Google Scholar 

  11. Zhang, Y., Chunxiang, X., Li, H., Liang, X.: Cryptographic public verification of data integrity for cloud storage systems. IEEE Cloud Comput. 5, 44–52 (2016)

    Article  Google Scholar 

  12. Zhang, Y., Chunxiang, X., Liang, X., Li, H., Yi, M., Zhang, X.: Efficient public verification of data integrity for cloud storage systems from indistinguishability obfuscation. IEEE Trans. Inf. Forensics Secur. 12(3), 676–688 (2017)

    Article  Google Scholar 

  13. Saxena, R., Dey, S.: Cloud audit: a data integrity verification approach for cloud computing. Procedia Comput. Sci. 89, 142–151 (2016)

    Article  Google Scholar 

  14. Liu, C., Yang, C., Zhang, X., Chen, J.: External integrity verification for outsourced big data in cloud and iot: a big picture. Future Gener. Comput. Syst. 49, 58–67 (2015)

    Article  Google Scholar 

  15. Chris Erway, C., Küpçü, A., Papamanthou, C., Tamassia, R.: Dynamic provable data possession. ACM Trans. Inf. Syst. Secur. 17(4), 15:1–15:29 (2015)

    Google Scholar 

  16. Barsoum, A.F., Anwar Hasan, M.: Provable possession and replication of data over cloud servers. Centre For Applied Cryptographic Research (CACR), University of Waterloo, Report, 32:2010 (2010)

    Google Scholar 

  17. Chunxiang, X., Zhang, Y., Yong, Y., Zhang, X., Wen, J.: An efficient provable secure public auditing scheme for cloudstorage. KSII Trans. Internet Inf. Syst. 8(11), 4226–4241 (2014)

    Google Scholar 

  18. Hussain, Md., Al-Mourad, M.B.: Effective third party auditing in cloud computing. In: 2014 28th International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 91–95. IEEE (2014)

    Google Scholar 

  19. Yu, Y., Li, Y., Yang, B., Susilo, W., Yang, G., Bai, J.: Attribute-based cloud data integrity auditing for secure outsourced storage. IEEE Trans. Emerging Topics Comput. 1 (2019)

    Google Scholar 

  20. Kumar, N., Mathuria, A.: Improved write access control and stronger freshness guarantee to outsourced data. In: Proceedings of the 18th International Conference on Distributed Computing and Networking, Hyderabad, India, January 5–7, 2017, p. 19 (2017)

    Google Scholar 

  21. Wang, C., Chow, S.S.M., Wang, Q., Ren, K., Lou, W.: Privacy-preserving public auditing for secure cloud storage. IEEE Trans. Comput. 62(2), 362–375 (2013)

    Article  MathSciNet  Google Scholar 

  22. Yamamoto, G., Oda, S., Aoki, K.: Fast integrity for large data. In: Proceedings of the ECRYPT Workshop Software Performance Enhancement for Encryption and Decryption, pp. 21–32 (2007)

    Google Scholar 

  23. Krawczyk, H., Bellare, M., Canetti, R.: Hmac: Keyed-hashing for message authentication. Technical report (1997)

    Google Scholar 

  24. Ateniese, G., et al.: Remote data checking using provable data possession. ACM Trans. Inf. Syst. Secur. 14(1), 12:1–12:34 (2011)

    Article  Google Scholar 

  25. Oprea, A., Reiter, M.K., Yang, K., et al.: Space-efficient block storage integrity. In: NDSS (2005)

    Google Scholar 

  26. Fu, K.E.: Group sharing and random access in cryptographic storage file systems. Technical report, MASTER’S THESIS, MIT (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. IIIT Vadodara, Gandhinagar, India

    Amit Kumar Dwivedi, Naveen Kumar & Mayank Pathela

Authors
  1. Amit Kumar Dwivedi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Naveen Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mayank Pathela
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Amit Kumar Dwivedi or Naveen Kumar .

Editor information

Editors and Affiliations

  1. Vietnam National University, Hanoi, Vietnam

    Dang Van Hung

  2. International Institute of Information Technology, Bangalore, India

    Meenakshi D´Souza

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Dwivedi, A.K., Kumar, N., Pathela, M. (2020). Distributed and Lazy Auditing of Outsourced Data. In: Hung, D., D´Souza, M. (eds) Distributed Computing and Internet Technology. ICDCIT 2020. Lecture Notes in Computer Science(), vol 11969. Springer, Cham. https://doi.org/10.1007/978-3-030-36987-3_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-36987-3_24

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36986-6

  • Online ISBN: 978-3-030-36987-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics