Skip to main content

Advertisement

SpringerLink
Log in
Menu
Find a journal Publish with us
Search
Cart
Book cover

IFIP International Conference on Network and Parallel Computing

NPC 2012: Network and Parallel Computing pp 119–128Cite as

  1. Home
  2. Network and Parallel Computing
  3. Conference paper
An Analysis of Privacy Preserving Data Aggregation Protocols for WSNs

An Analysis of Privacy Preserving Data Aggregation Protocols for WSNs

  • Irfana Memon20 
  • Conference paper
  • 2312 Accesses

  • 1 Citations

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7513)

Abstract

Wireless sensor network (WSN) technology has the potential to change the way we live, work, protect and do business, with applications in entertainment, travel, industry, telemedicine, disaster and emergency management. Data aggregation is key technique for power-efficient information acquisition in WSNs. However, data privacy during data aggregation is an important issue when the WSN is deployed in sensitive data applications, such as telemedicine. If the issues associated with data privacy are not seriously considered, the technology would not be trustingly used for many valuable applications. The existing privacy preserving data aggregation protocols provide a method to sustain privacy of collected sensor’s data from external and internal adversaries during data aggregation in WSNs. The basic aim of the paper is to investigate the critical aspects of the existing privacy preserving data aggregation protocols for WSNs and highlight their major limitations. We claim that in future such limitations can be corrected. Our ongoing work is to propose an alternative solution to overcome such limitations, but this will be presented in a future paper.

Keywords

  • Sensor Node
  • Wireless Sensor Network
  • Cluster Head
  • Data Aggregation
  • Stream Cipher

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.

Download conference paper PDF

References

  1. Singh, S.K., Singh, M.P., Singh, D.K.: Applications, Classifications, and Selections of Energy-Efficient Routing Protocols for Wireless Sensor Networks. International Journal of Advanced Engineering Sciences and Technologies (2010)

    Google Scholar 

  2. Hill, J., Szewczyk, R., Woo, A., Hollar, S., Pister, D.C.K.: System architecture directions for networked sensors. In: Proceedings of the 9th International Conference on Architectural Support for Programming Languages and Operating Systems (2000)

    Google Scholar 

  3. Maraiya, K., Kant, K., Gupta, N.: Wireless Sensor Network: A Review on Data Aggregation. International Journal of Scientific and Engineering Research (2011)

    Google Scholar 

  4. Madden, S., Szewczyk, R., Franklin, M., Culler, D.: Supporting aggregate queries over ad-hoc sensor networks. In: Workshop on Mobile Computing and Systems Applications (2002)

    Google Scholar 

  5. Wagner, D.: Resilient aggregation in sensor networks. In: Proceedings of the 2nd ACM Workshop on Security of Adhoc and Sensor Networks (2004)

    Google Scholar 

  6. Intanagonwiwat, C., Estrin, D., Govindan, R., Heidemann, J.: Impact of Network Density on Data aggregation in Wireless Sensor Networks. In: Proceedings of the 22nd International Conference on Distributed Computing Systems (2002)

    Google Scholar 

  7. Li, N., Zhang, N., Das, S.K., Thuraisingham, B.: Privacy-preserving in wireless sensor networks: A state-of-the-art survey. Ad Hoc Networks (2009)

    Google Scholar 

  8. Bista, R., Chang, J.-W.: Privacy-Preserving Data Aggregation Protocols for Wireless Sensor Networks: A Survey. Sensors (2010)

    Google Scholar 

  9. Westhoff, D., Girao, J., Acharya, M.: Concealed data aggregation for reverse multicast traffic in sensor networks: encryption key distribution and routing adaptation. IEEE Transactions on Mobile Computing (2006)

    Google Scholar 

  10. Domingo-Ferrer, J.: A Provably Secure Additive and Multiplicative Privacy Homomorphism. In: Proc. Information Security Conf., pp. 471–483 (October 2002)

    Google Scholar 

  11. Castelluccia, C., Mykletun, E., Tsudik, G.: Efficient Aggregation of Encrypted Data in WSN. In: MobiQuitous. IEEE Computer Society (2005)

    Google Scholar 

  12. Castellucia, C., Chan, A.C.-F., Mykletun, E., Tsudnik, G.: Efficient and Provably Secure Aggregation of encrypted data in WSNs. ACM Transactions on Sensor Networks 5(3) (May 2009)

    Google Scholar 

  13. Goldreich, O., Goldwasser, S., Micali, S.: How to construct random functions. Journal of the Association for Computing Machinay (1986)

    Google Scholar 

  14. He, W., Liu, X., Nguyen, H., Nahrstedt, K., Abdelzaher, T.: PDA: privacy-preserving data aggregation in wireless sensor networks. IEEE INFOCOM (2007)

    Google Scholar 

  15. Madden, S., Franklin, M.J., Hellerstein, J.M.: TAG: A Tiny AGgregation Service for Ad-Hoc Sensor Networks. OSDI (2002)

    Google Scholar 

  16. Conti, M., Zhang, L., Roy, S., Pietro, R.D., Jajodia, S., Mancini, L.V.: Privacy-preserving robust data aggregation in WSNs. Secur. Commun. Netw. (2009)

    Google Scholar 

  17. Choi, H., Zhu, S., La Porta, T.F.: SET: Detecting Node Clones in Sensor Networks. In: Proceedings of IEEE 3rd International Conference on Security and Privacy in Communication Networks (2007)

    Google Scholar 

  18. Eschenauer, L., Gligor, V.D.: A key-management scheme for distributed sensor networks. In: Proceedings of the 9th ACM Conference on Computer and Communications Security (November 2002)

    Google Scholar 

  19. He, W., Nguyen, H., Liu, X., Nahrstedt, K., Abdelzaher, T.: iPDA: An integrity-protecting private data aggregation scheme for wireless sensor networks. In: Proceedings of IEEE Military Communication Conference, MILCOM, San Diego, CA, USA (November 2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. ERISCS Research Group, Aix-Marseille Université, France

    Irfana Memon

Authors
  1. Irfana Memon
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, SeoulTech, 172 Gongreung 2-dong, Nowon-gu, 139-743, Seoul, Korea

    James J. Park

  2. School of Information Technologies, The University of Sydney, Building J12, 2006, Sydney, NSW, Australia

    Albert Zomaya

  3. Division of Computer Engineering, Mokwon University, 88 Do-An-Buk-Ro, Seo-gu, 302-729, Daejeon, Korea

    Sang-Soo Yeo

  4. Department of Computer and Information Science and Engineering, University of Florida, CSE 301, 32611, Gainesville, FL, USA

    Sartaj Sahni

Rights and permissions

Reprints and Permissions

Copyright information

© 2012 IFIP International Federation for Information Processing

About this paper

Cite this paper

Memon, I. (2012). An Analysis of Privacy Preserving Data Aggregation Protocols for WSNs. In: Park, J.J., Zomaya, A., Yeo, SS., Sahni, S. (eds) Network and Parallel Computing. NPC 2012. Lecture Notes in Computer Science, vol 7513. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35606-3_14

Download citation

  • .RIS
  • .ENW
  • .BIB
  • DOI: https://doi.org/10.1007/978-3-642-35606-3_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35605-6

  • Online ISBN: 978-3-642-35606-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Share this paper

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Search

Navigation

  • Find a journal
  • Publish with us

Discover content

  • Journals A-Z
  • Books A-Z

Publish with us

  • Publish your research
  • Open access publishing

Products and services

  • Our products
  • Librarians
  • Societies
  • Partners and advertisers

Our imprints

  • Springer
  • Nature Portfolio
  • BMC
  • Palgrave Macmillan
  • Apress
  • Your US state privacy rights
  • Accessibility statement
  • Terms and conditions
  • Privacy policy
  • Help and support

167.114.118.210

Not affiliated

Springer Nature

© 2023 Springer Nature