Skip to main content

GTRSSN: Gaussian Trust and Reputation System for Sensor Networks

  • Conference paper
Advances in Computer and Information Sciences and Engineering

Abstract

This paper introduces a new Gaussian trust and reputation system for wireless sensor networks based on sensed continuous events to address security issues and to deal with malicious and unreliable nodes. It is representing a new approach of calculating trust between sensor nodes based on their sensed data and the reported data from surrounding nodes. It is addressing the trust issue from a continuous sensed data which is different from all other approaches which address the issue from communications and binary point of view.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. S. Ba and P. A. Pavlou, “Evidence of the effect of trust building technology in electronic markets: price premiums and buyer behavior,” MIS Quarterly, vol. 26, 2002.

    Google Scholar 

  2. P. Dasgupta, “Trust as a commodity,” in n Gambetta, Diego (ed.) Trust: Making and Breaking Cooperative Relations, vol. electronic edition, D. Ingram, Ed.: Department of Sociology, University of Oxford,, 2000, pp. 49-72.

    Google Scholar 

  3. S. Marsh, “Formalising Trust as a Computational Concept,” in Departmet of Computer Science and Mathematics, vol. PhD: University of Stirling, 1994, pp. 184.

    Google Scholar 

  4. D. H. McKnight and N. L. Chervany, “Conceptualizing Trust: A Typology and E-Commerce Customer Relationships Model,” presented at Proceedings of the 34th Hawaii International Conference on System Sciences - 2001, 2001.

    Google Scholar 

  5. P. Resnick and R. Zeckhauser, “Trust among strangers in internet transactions: empirical analysis of eBays reputation system,” presented at NBER: workshop on empirical studies of electronic commerce, 2000.

    Google Scholar 

  6. K. a. D. Aberer, Z. , “Managing trust in a peer-2-peer information system,” presented at Ninth Int. Conf. Information and Knowledge Management, 2001, 2001.

    Google Scholar 

  7. L. Xiong and L. Liu, “A reputation-based trust model for peer-to-peer e-commerce communities,” presented at IEEE conference on E-commerce, 2003.

    Google Scholar 

  8. S. Buchegger and J. L. Boudec, “Performance analysis of the CONFIDANT protocol,” presented at 3rd ACM int. symp. Mobile ad hoc networking & computing, 2002.

    Google Scholar 

  9. P. Michiardi and R. Molva, “CORE: A Collaborative Reputation Mechanism to enforce node cooperation in Mobile Ad hoc Networks,” 2001.

    Google Scholar 

  10. S. Ganeriwal and M. B. Srivastava, “Reputation-based Framework for High Integrity Sensor Networks,” presented at the 2nd ACM workshop on Security of ad hoc and sensor networks Washington DC, USA 2004.

    Google Scholar 

  11. A. Srinivasan, J. Teitelbaum, and J. Wu, “DRBTS: Distributed Reputation-based Beacon Trust System,” in 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC’06), 2006.

    Google Scholar 

  12. M. Momani, S. Challa, and K. Aboura, “Modelling Trust in Wireless Sensor Networks from the Sensor Reliability Prospective,” in Innovative Algorithms and Techniques in Automation, Industrial Electronics and Telecommunications, T. Sobh, K. Elleithy, A. Mahmood, and M. Karim, Eds.: Springer Netherlands, 2007.

    Google Scholar 

  13. M. Momani, K. Aboura, and S. Challa, “RBATMWSN: Recursive Bayesian Approach to Trust Management in Wireless Sensor Networks,” presented at The Third International Conference on Intelegent Sensors, Sensor Networks and Information Processing, Melbourne, Australia, 2007.

    Google Scholar 

  14. A. Jøsang and R. Ismail, “The Beta Reputation System,” in 15th Bled Electronic Commerce Conference. Bled, Slovenia, 2002.

    Google Scholar 

  15. G. Shafer, “A mathematical theory of evidence,” Princeton University, 1976.

    Google Scholar 

  16. B. N. Shand, “Trust for resource control: Self-enforcing automatic rational contracts between computers,” University of Cambridge Computer Laboratory UCAM-CL-TR-600, 2004.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer Science+Business Media B.V.

About this paper

Cite this paper

Momani, M., Challa, S. (2008). GTRSSN: Gaussian Trust and Reputation System for Sensor Networks. In: Sobh, T. (eds) Advances in Computer and Information Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8741-7_62

Download citation

  • DOI: https://doi.org/10.1007/978-1-4020-8741-7_62

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-8740-0

  • Online ISBN: 978-1-4020-8741-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics