Abstract
Social networking is a dominant computing paradigm of the last decade that enables users to virtually interact and socialise, to collaborate and to share any kind of content. A drawback in current social networking systems is that they integrate poorly with the wealth of hardware and software resources that the users have access to locally or remotely. To overcome this, the Cooperating Smart Spaces (CSSs) notion has been introduced that couples the advantages of social computing with those of pervasive systems. However, as this promising merging is largely based on the collection and exploitation of various user-related information, and enables the discovery and interaction among users, groups of users and resources that are not necessarily trustworthy, a reliable trust management and evaluation system needs to be established. This chapter elaborates on such a system that has been prototyped, tested and evaluated via real user trials, in order to address the needs of CSSs. It considers context information in the trust evaluation process and it enables trust-sensitive community lifecycle and membership management; automated discovery of trusted entities; and trust-based control of personal data disclosure.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abdul-Rahman, A.: A framework for decentralised trust reasoning. PhD thesis, University College London (2005)
Bao, F., Chen, I.R.: Dynamic trust management for Internet of Things applications. In: Proceedings of the 2012 International Workshop on Self-aware Internet of Things, ACM, New York, NY, USA, Self-IoT'12, pp. 1–6 (2012). doi:10.1145/2378023.2378025
Ben Saied, Y., Olivereau, A., Azzabi, R.: COACH: A context aware and multi-service trust model for cooperation management in heterogeneous wireless networks. In: Proceedings of The 9th International Wireless Communications and Mobile Computing Conference, IWCMC'13, pp. 911–918 (2013). doi: 10.1109/IWCMC.2013.6583679
Beth, T., Borcherding, M., Klein, B.: Valuation of trust in open networks. In: Proceedings of the 3rd European Symposium on Research in Computer Security. Springer, London, UK, ESORICS'94, pp. 3–18 (1994)
Chen, D., Chang, G., Sun, D., Li, J., Jia, J., Wang, X.: TRM-IoT: A trust management model based on fuzzy reputation for internet of things. Comput. Sci. Inf. Syst. 8(4), 1207–1228 (2011). doi:10.2298/CSIS110303056C
Doolin, K.: Societies Magazine—Issue 1 Feb 2013. http://www.ict-societies.eu/magazine/ (2013). Accessed 14 May 2014
Doolin, K., Roussaki, I., Roddy, M., Kalatzis, N., Papadopoulou, E., Taylor, N., Liampotis, N., McKitterick, D., Jennings, E., Kosmides, P.: SOCIETIES: Where Pervasive Meets Social. Lecture Notes in Computer Science, vol. 7281. Springer, Heidelberg, pp. 30–41 (2012)
Grandison, T.: Trust management for internet applications. PhD thesis, Imperial College London (2003)
Hansmann, U., Merk, L., Nicklous, M.S., Stober, T.: Pervasive Computing: The Mobile World, 2nd edn. Springer, Berlin (2003)
Kalatzis, N., Liampotis, N., Roussaki, I., Kosmides, P., Papaioannou, I., Xynogalas, S., Zhang, D., Anagnostou, M.: Cross-community context management in cooperating smart spaces. Pers. Ubiquit. Comput. 18(2), 427–443 (2014). doi:10.1007/s00779-013-0654-2
Kietzman, J.H., Silvestre, B.S., McCarthy, I.P., Pitt, L.F.: Unpacking the social media phenomenon: Towards a research agenda. J. Public Aff. 12(2), 109–119 (2012)
Kim, M., Park, S.: Trust management on user behavioral patterns for a mobile cloud computing. Cluster Comput. 16(4), 725–731 (2013). doi:10.1007/s10586-013-0248-9
Lin, K.Y., Lu, H.P.: Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Comput. Hum. Behav. 27(3), 1152–1161 (2011). doi:10.1016/j.chb.2010.12.009
Linden, G., Smith, B., York, J.: Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet Comput. 7(1), 76–80 (2003). doi:10.1109/MIC.2003.1167344
McGovern, J.: Context similarity evaluation: Inferring how users can collectively collaborate together in a pervasive environment. In: Proceedings of The 2013 International Conference on Cloud and Green Computing, IEEE Computer Society, pp. 553–557 (2013). doi:10.1109/CGC.2013.93
Obaidat, M.S., Denko, M., Woungang, I. (eds.): Pervasive Comput and Networking, 3rd edn. Wiley, Chichester(2011)
Roussaki, I., Kalatzis, N., Liampotis, N., Kosmides, P., Anagnostou, M., Doolin, K., Jennings, E., Bouloudis, Y., Xynogalas, S.: Context-awareness in wireless and mobile computing revisited to embrace social networking. IEEE Commun. Mag. 50(6), 74–81 (2012). doi:10.1109/MCOM.2012.6211489
Sherchan, W., Nepal, S., Paris, C.: A survey of trust in social networks. ACM Comput. Surv. 45(4), 47:1–47:33 (2013). doi:10.1145/2501654.2501661
Su, X., Khoshgoftaar, T.M.: A survey of collaborative filtering techniques. Adv. Artif. Intell. 2009, 4:2–4:2 (2009). doi:10.1155/2009/421425
Sydow, M.: Towards context-enriched trust prediction: A proposal. In: Proceedings of the 2008 International Workshop on Combining Context with Trust, Security and Privacy, Trondheim, Norway (2008)
Uddin, M.G., Zulkernine, M., Ahamed, S.I.: CAT: A context-aware trust model for open and dynamic systems. In: Proceedings of The 2008 ACM Symposium on Applied Computing, ACM, New York, NY, USA, SAC'08, pp. 2024–2029 (2008). doi:10.1145/1363686.1364176
Wang, Y., Li, M., Dillon, E., Cui, L.G., Hu, J.J., Liao, L.J.: A context-aware computational trust model for multi-agent systems. In: Proceedings of The IEEE International Conference on Networking, Sensing and Control, ICNSC'08, pp. 1119–1124 (2008). doi: 10.1109/ICNSC.2008.4525384
Acknowledgements
The research leading to these results has received funding from the European Community’s Seventh Framework Programme [FP7/2007-2013] under grant agreement no. 257493 of the SOCIETIES (Self Orchestrating CommunIty ambiEnT IntelligEnce Spaces) Collaborative Project
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media New York
About this chapter
Cite this chapter
Liampotis, N. et al. (2014). Context-Sensitive Trust Evaluation in Cooperating Smart Spaces. In: Brézillon, P., Gonzalez, A. (eds) Context in Computing. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-1887-4_13
Download citation
DOI: https://doi.org/10.1007/978-1-4939-1887-4_13
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4939-1886-7
Online ISBN: 978-1-4939-1887-4
eBook Packages: Computer ScienceComputer Science (R0)