Skip to main content

An Adaptive Security Model for Heterogeneous Networks Using MAUT and Simple Heuristics

  • Conference paper
Computational Science and Its Applications – ICCSA 2004 (ICCSA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3046))

Included in the following conference series:

  • 958 Accesses

Abstract

In this paper, we present an adaptive security model that aims at securing resources in heterogeneous networks. Traditional security model usually work according to a static decision-making approach. However, we may establish a better approach to heterogeneous networks if we use a dynamic approach to construct the security level. Security management relies on a set of contextual information collected from the user and the resource environments, and that infers the security level to enforce. These security levels are dynamically deduced using one of these two algorithms: MAUT and Simple Heuristics.

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

Access this chapter

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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Brézillon, P., et al.: SART: An intelligent assistant for subway control. Pesquisa Operacional, Brazilian Operations Research Society 20(2), 247–268 (2002)

    Google Scholar 

  2. Brézillon, P.: Context in Artificial Intelligence: I. A survey of the literature. Computer & Artificial Intelligence 18(4), 321–340 (1999), http://wwwpoleia.lip6.fr/~brezil/Pages2/Publications/CAI1-99.pdf

    MATH  Google Scholar 

  3. Chung, M., Honavar, V.: A Negotiation Model in Agent-Mediated Electronic Commerce. In: Proc. IEEE Int’l Symposium on Multimedia Software Engineering, Taipei, December 2000, pp. 403–410 (2000)

    Google Scholar 

  4. Covington, M.J., et al.: A Security Architecture for Context-Aware Applications, tech. report, GIT-CC-01-12, College of Computing, Georgia Institute of Technology (May 2001)

    Google Scholar 

  5. Covington, M.J., et al.: Securing Context-Aware Applications Using Environment Roles. In: Proc. 6th ACM Symposium on Access Control Models and Technologies, Chantilly, VI, USA, May 2001, pp. 10–20 (2001)

    Google Scholar 

  6. Covington, M.J., et al.: A Context-Aware Security Architecture for Emerging Applications. In: Proc. Annual Computer Security Applications Conf (ACSAC), Las Vegas, Nevada, USA (December 2002)

    Google Scholar 

  7. Dey, A.K.: Ph. D. dissertation, Providing Architectural Support for Building Context-Aware Applications, Georgia Institute of Technology (2000)

    Google Scholar 

  8. Henricksen, K., et al.: Modeling Context Information in Pervasive Computing Systems. In: Mattern, F., Naghshineh, M. (eds.) PERVASIVE 2002. LNCS, vol. 2414, pp. 167–180. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  9. Keeney, R.L., Raiffa, H.: Decisions with Multiple Objectives: Preferences and Value Tradeoffs. John Wiley & Sons, New York (1976)

    Google Scholar 

  10. Mostéfaoui, G.K., Brézillon, P.: A generic framework for context-based distributed authorizations. In: Blackburn, P., Ghidini, C., Turner, R.M., Giunchiglia, F. (eds.) CONTEXT 2003. LNCS (LNAI), vol. 2680, pp. 204–217. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  11. Long, S., et al.: Rapid prototyping of mobile context-aware applications: The cyberguide case study. In: Proc. the 1996 Conf. Human Factors in Computing Systems (CHI 1996), pp. 293–294 (1996)

    Google Scholar 

  12. Martignon, L., Hoffrage, U.: Why Does One-Reason Decision Making Work? In: Simple Heuristics That Make Us Smart, pp. 119–140. Oxford University Press, New York (1999)

    Google Scholar 

  13. Masone, C.: Role Definition Language (RDL): A Language to Describe Context-Aware Roles, tech. report, TR2001-426, Dept. of Computer Science, Dartmouth College (May 2002)

    Google Scholar 

  14. Osbakk, P., Ryan, N.: Context Privacy, CC/PP, and P3P. In: Proc. UBICOMP 2002 - Workshop on Security in Ubiquitous Computing, pp. 9–10 (2002)

    Google Scholar 

  15. Rakotonirainy, A.: Context-oriented programming for pervasive systems, tech. report, University of Queensland (September 2002)

    Google Scholar 

  16. The SART Project, http://www-poleia.lip6.fr/~brezil/SART/index.html

  17. Schmidt, A., et al.: There is more to context than location. Computers and Graphics 23(6), 893–902 (1999)

    Article  Google Scholar 

  18. Schäfer, R.: Rules for Using Multi-Attribute Utility Theory for Estimating a User’s Interests. In: Proc. 9th GI-Workshop. ABIS-Adaptivität und Benutzermodellierung in interaktiven softwaresystemen, Dortmund, Germany (2001)

    Google Scholar 

  19. Shankar, N., Balfanz, D.: Enabling Secure Ad-hoc Communication Using Context-Aware Security Services (Extended Abstract). In: Proc. UBICOMP 2002 -Workshop on Security in Ubiquitous Computing (2002)

    Google Scholar 

  20. Strat, T.M., et al.: Context-Based Vision. In: Firschein, O., Strat, T.M. (eds.) Chapter in RADIUS: Image Understanding for Intelligence Imagery, Morgan Kaufmann, San Francisco (1997)

    Google Scholar 

  21. von Winterfeld, D., Edwards, W.: Decision Analysis and Behavioral Research. Cambridge University Press, Cambridge (1986)

    Google Scholar 

  22. Weiser, M.: The computer for the 21st Century. Scientific American 265(3), 66–75 (1991)

    Article  Google Scholar 

  23. Yau, S.S., et al.: Reconfigurable Context-Sensitive Middleware for Pervasive Computing. IEEE Pervasive Computing, joint special issue with IEEE Personal Communications 1(3), 33–40 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chae, J., Mostéfaoui, G.K., Chung, M. (2004). An Adaptive Security Model for Heterogeneous Networks Using MAUT and Simple Heuristics. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24768-5_106

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-24768-5_106

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22060-2

  • Online ISBN: 978-3-540-24768-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics