Abstract
Social Internet of Things (SIoT) is a paradigm in which the Internet of Things (IoT) concept is fused with Social Networks for allowing both people and objects to interact in order to offer a variety of attractive services and applications. However, with this emerging paradigm, people feel wary and cautious. They worry about revealing their data and violating their privacy. Without trustworthy mechanisms to guarantee the reliability of user’s communications and interactions, the SIoT will not reach enough popularity to be considered as a cutting-edge technology. Accordingly, trust management becomes a major challenge to provide qualified services and improved security.
Several works in the literature have dealed with this problem and have proposed different trust-models. Nevertheless, proposed models aim to rank the best nodes in the SIoT network. This does not allow to detect different types of attack or malicious nodes.
Hence, we overcome these issues through proposing a new trust-evaluation model, able to detect malicious nodes, block and isolate them, in order to obtain a reliable and resilient system. For this, we propose new features to describe and quantify the different behaviors that operate in such system. We formalized and implemented a new function learned and built based on supervised learning, to analyze different features and distinguish malicious behavior from benign ones. Experimentation made on a real data set prove the resilience and the performance of our trust model.
This work was financially supported by the PHC Utique program of the French Ministry of Foreign Affairs and Ministry of higher education and research and the Tunisian Ministry of higher education and scientific research in the CMCU project number 18G1431.
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
Abdelghani, W., Zayani, C.A., Amous, I., Sèdes, F.: Trust management in social internet of things: a survey. In: Social Media: The Good, the Bad, and the Ugly, pp. 430–441. Swanwea (2016)
Ali, D.H.: A social Internet of Things application architecture: applying semantic web technologies for achieving interoperability and automation between the cyber, physical and social worlds. Ph.D. thesis, Institut National des Télécommunications (2015)
Atzori, L., Iera, A., Morabito, G.: From “smart objects” to “social objects”: the next evolutionary step of the internet of things. IEEE Commun. Mag. 52(1), 97–105 (2014)
Atzori, L., Iera, A., Morabito, G., Nitti, M.: The social internet of things (SIoT)-when social networks meet the internet of things: concept, architecture and network characterization. Comput. Netw. 56(16), 3594–3608 (2012)
Bao, F., Chen, I., Guo, J.: Scalable, adaptive and survivable trust management for community of interest based internet of things systems. In: 11th International Symposium on Autonomous Decentralized Systems, Mexico City, pp. 1–7 (2013)
Calvary, G., Delot, T., Sedes, F., Tigli, J.Y.: Computer Science and Ambient Intelligence. Wiley, Hoboken (2013)
Chen, R., Bao, F., Guo, J.: Trust-based service management for social internet of things systems. IEEE Trans. Dependable Secur. Comput. 13(6), 684–696 (2016)
Chen, Z., Ling, R., Huang, C., Zhu, X.: A scheme of access service recommendation for the social internet of things. Int. J. Commun. Syst. 29(4), 694–706 (2016)
Cho, J.H., Chen, R., Feng, P.G.: Effect of intrusion detection on reliability of mission-oriented mobile group systems in mobile ad hoc networks. IEEE Trans. Reliab. 59(1), 231–241 (2010)
Geetha, S.: Social internet of things. World Sci. News 41, 76 (2016)
Guo, J., Chen, R., Tsai, J.J.: A survey of trust computation models for service management in internet of things systems. Comput. Commun. 97, 1–14 (2017)
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA data mining software: an update. ACM SIGKDD Explor. Newsl. 11(1), 10–18 (2009)
Huang, J., Seck, M.D., Gheorghe, A.: Towards trustworthy smart cyber-physical-social systems in the era of internet of things. In: 2016 11th System of Systems Engineering Conference (SoSE), pp. 1–6. IEEE (2016)
Jayasinghe, U., Truong, N.B., Lee, G.M., Um, T.W.: RpR: a trust computation model for social internet of things. In: Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress, pp. 930–937. IEEE (2016)
Militano, L., Orsino, A., Araniti, G., Nitti, M., Atzori, L., Iera, A.: Trusted D2D-based data uploading in in-band narrowband-IoT with social awareness. In: 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp. 1–6. IEEE (2016)
Mitchell, R., Chen, I.R.: A survey of intrusion detection techniques for cyber-physical systems. ACM Comput. Surv. (CSUR) 46(4), 55 (2014)
Truong, N.B., Um, T.W., Lee, G.M.: A reputation and knowledge based trust service platform for trustworthy social internet of things. Innovations in Clouds, Internet and Networks (ICIN), Paris, France (2016)
Truong, N.B., Um, T.W., Zhou, B., Lee, G.M.: From personal experience to global reputation for trust evaluation in the social internet of things. In: GLOBECOM 2017–2017 IEEE Global Communications Conference, pp. 1–7. IEEE (2017)
Truong, N.B., Um, T.W., Zhou, B., Lee, G.M.: Strengthening the blockchain-based internet of value with trust. In: International Conference on Communications (2018)
Yan, Z., Zhang, P., Vasilakos, A.V.: A survey on trust management for internet of things. J. Netw. Comput. Appl. 42, 120–134 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Abdelghani, W., Zayani, C.A., Amous, I., Sèdes, F. (2019). Trust Evaluation Model for Attack Detection in Social Internet of Things. In: Zemmari, A., Mosbah, M., Cuppens-Boulahia, N., Cuppens, F. (eds) Risks and Security of Internet and Systems. CRiSIS 2018. Lecture Notes in Computer Science(), vol 11391. Springer, Cham. https://doi.org/10.1007/978-3-030-12143-3_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-12143-3_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12142-6
Online ISBN: 978-3-030-12143-3
eBook Packages: Computer ScienceComputer Science (R0)