Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
SpringerLink
Log in

Coop-DAAB: Cooperative Attribute Based Data Aggregation for Internet of Things Applications

  • Conference paper
  • First Online:
On the Move to Meaningful Internet Systems. OTM 2018 Conferences (OTM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11229))

  • 1772 Accesses

Abstract

The deployment of IoT devices is gaining an expanding interest in our daily life. Indeed, IoT networks consist in interconnecting several smart and resource constrained devices to enable advanced services. Security management in IoT is a big challenge as personal data are shared by a huge number of distributed services and devices. In this paper, we propose a Cooperative Data Aggregation solution based on a novel use of Attribute Based signcryption scheme (\(\mathsf {Coop}\)-\(\mathsf {DAAB}\)). \(\mathsf {Coop}\)-\(\mathsf {DAAB}\) consists in distributing data signcryption operation between different participating entities (i.e., IoT devices). Indeed, each IoT device encrypts and signs in only one step the collected data with respect to a selected sub-predicate of a general access predicate before forwarding to an aggregating entity. This latter is able to aggregate and decrypt collected data if a sufficient number of IoT devices cooperates without learning any personal information about each participating device. Thanks to the use of an attribute based signcryption scheme, authenticity of data collected by IoT devices is proved while protecting them from any unauthorized access.

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
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    Assigning sub-access dummy and genuine predicates may be set via activating a flag F, where \(F= 0\) presents a genuine sub-access predicate and \(F=1\) denotes a dummy sub-access predicate.

  2. 2.

    \(\mathsf {Coop}\)-\(\mathsf {DAAB}\) relies on the aggregate algorithm \(\mathtt {aggreg}\) introduced by Delerablee et al. [9].

  3. 3.

    For ease of presentation, we consider that all received signcrypted contents are correctly verified.

References

  1. Atwady, Y., Hammoudeh, M.: A survey on authentication techniques for the internet of things. In: Proceedings of the International Conference on Future Networks and Distributed Systems, p. 8. ACM (2017)

    Google Scholar 

  2. Belguith, S., Kaaniche, N., Laurent, M., Jemai, A., Attia, R.: Constant-size threshold attribute based signcryption for cloud applications. In: SECRYPT 2017: 14th International Conference on Security and Cryptography, vol. 6, pp. 212–225. Scitepress (2017)

    Google Scholar 

  3. Belguith, S., Kaaniche, N., Laurent, M., Jemai, A., Attia, R.: PHOABE: securely outsourcing multi-authority attribute based encryption with policy hidden for cloud assisted IOT. Comput. Netw. 133, 141–156 (2018)

    Article  Google Scholar 

  4. Belguith, S., Kaaniche, N., Mohamed, M., Russello, G.: C-ABSC: cooperative attribute based signcryption scheme for internet of things applications. In: Proceedings of the International Conference on Services Computing IEEE SCC, p. 6. IEEE (2018)

    Google Scholar 

  5. Coates, A., Hammoudeh, M., Holmes, K.G.: Internet of things for buildings monitoring: experiences and challenges. In: Proceedings of the International Conference on Future Networks and Distributed Systems, p. 38. ACM (2017)

    Google Scholar 

  6. Delerablée, C., Pointcheval, D.: Dynamic threshold public-key encryption. In: Wagner, D. (ed.) CRYPTO 2008. LNCS, vol. 5157, pp. 317–334. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-85174-5_18

    Chapter  Google Scholar 

  7. Gagné, M., Narayan, S., Safavi-Naini, R.: Threshold attribute-based signcryption. In: Garay, J.A., De Prisco, R. (eds.) SCN 2010. LNCS, vol. 6280, pp. 154–171. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-15317-4_11

    Chapter  Google Scholar 

  8. Guo, L., Zhang, C., Yue, H., Fang, Y.: PSaD: a privacy-preserving social-assisted content dissemination scheme in DTNs. IEEE Trans. Mob. Comput. 13(12), 2903–2918 (2014)

    Article  Google Scholar 

  9. Herranz, J., Laguillaumie, F., Ràfols, C.: Constant size ciphertexts in threshold attribute-based encryption. In: Nguyen, P.Q., Pointcheval, D. (eds.) PKC 2010. LNCS, vol. 6056, pp. 19–34. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-13013-7_2

    Chapter  Google Scholar 

  10. Hu, C., et al.: An efficient privacy-preserving data aggregation scheme for IoT. In: Chellappan, S., Cheng, W., Li, W. (eds.) WASA 2018. LNCS, vol. 10874, pp. 164–176. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94268-1_14

    Chapter  Google Scholar 

  11. Kaaniche, N., Mohamed, M., Laurent, M., Ludwig, H.: Security SLA based monitoring in clouds. In: 2017 IEEE International Conference on Edge Computing (EDGE), pp. 90–97, June 2017

    Google Scholar 

  12. Kaâniche, N., Jung, E.E., Gehani, A.: Efficiently validating aggregated IoT data integrity (2018)

    Google Scholar 

  13. Liu, J., Huang, X., Liu, J.K.: Secure sharing of personal health records in cloud computing: ciphertext-policy attribute-based signcryption. Future Gen. Comput. Syst. 52, 67–76 (2015)

    Article  Google Scholar 

  14. Lu, R., Heung, K., Lashkari, A.H., Ghorbani, A.A.: A lightweight privacy-preserving data aggregation scheme for fog computing-enhanced IoT. IEEE Access 5, 3302–3312 (2017)

    Article  Google Scholar 

  15. Lyu, L., Nandakumar, K., Rubinstein, B., Jin, J., Bedo, J., Palaniswami, M.: PPFA: privacy preserving fog-enabled aggregation in smart grid. IEEE Trans. Ind. Inf. (2018)

    Google Scholar 

  16. Rao, Y.S., Dutta, R.: Efficient attribute-based signature and signcryption realizing expressive access structures. Int. J. Inf. Secur. 15(1), 81–109 (2016)

    Article  Google Scholar 

  17. Shi, E., Chan, H., Rieffel, E., Chow, R., Song, D.: Privacy-preserving aggregation of time-series data. In: Annual Network & Distributed System Security Symposium (NDSS). Internet Society (2011)

    Google Scholar 

  18. Zheng, Y.: Digital signcryption or how to achieve cost(signature & encryption) \({\ll }\) cost(signature) + cost(encryption). In: Kaliski, B.S. (ed.) CRYPTO 1997. LNCS, vol. 1294, pp. 165–179. Springer, Heidelberg (1997). https://doi.org/10.1007/BFb0052234

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computing, Science and Engineering, University of Salford, Manchester, UK

    Sana Belguith

  2. SAMOVAR, Telecom SudParis, University Paris-Saclay, Paris, France

    Nesrine Kaaniche

  3. IBM Research, Almaden Research Center, San Jose, CA, USA

    Mohamed Mohamed

  4. The Cyber Security Foundry, The University of Auckland, Auckland, New Zealand

    Giovanni Russello

Authors
  1. Sana Belguith
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nesrine Kaaniche
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mohamed Mohamed
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Giovanni Russello
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sana Belguith .

Editor information

Editors and Affiliations

  1. CNRS, University of Lorraine, Vandoeuvre-les-Nancy, France

    Hervé Panetto

  2. Trinity College Dublin, Dublin, Ireland

    Christophe Debruyne

  3. Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg

    Henderik A. Proper

  4. Università degli Studi di Milano, Crema, Italy

    Claudio Agostino Ardagna

  5. SINTEF and University of Oslo, Oslo, Norway

    Dumitru Roman

  6. TU Graz, Graz, Austria

    Robert Meersman

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Belguith, S., Kaaniche, N., Mohamed, M., Russello, G. (2018). Coop-DAAB: Cooperative Attribute Based Data Aggregation for Internet of Things Applications. In: Panetto, H., Debruyne, C., Proper, H., Ardagna, C., Roman, D., Meersman, R. (eds) On the Move to Meaningful Internet Systems. OTM 2018 Conferences. OTM 2018. Lecture Notes in Computer Science(), vol 11229. Springer, Cham. https://doi.org/10.1007/978-3-030-02610-3_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-02610-3_28

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02609-7

  • Online ISBN: 978-3-030-02610-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation