Trust Evaluation Model for Attack Detection in Social Internet of Things
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.
Keywords
Social Internet of Things Social networks Trust management Trust attacks ResilienceReferences
- 1.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)Google Scholar
- 2.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)Google Scholar
- 3.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)CrossRefGoogle Scholar
- 4.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)CrossRefGoogle Scholar
- 5.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)Google Scholar
- 6.Calvary, G., Delot, T., Sedes, F., Tigli, J.Y.: Computer Science and Ambient Intelligence. Wiley, Hoboken (2013)Google Scholar
- 7.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)CrossRefGoogle Scholar
- 8.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)CrossRefGoogle Scholar
- 9.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)CrossRefGoogle Scholar
- 10.Geetha, S.: Social internet of things. World Sci. News 41, 76 (2016)Google Scholar
- 11.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)CrossRefGoogle Scholar
- 12.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)CrossRefGoogle Scholar
- 13.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)Google Scholar
- 14.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)Google Scholar
- 15.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)Google Scholar
- 16.Mitchell, R., Chen, I.R.: A survey of intrusion detection techniques for cyber-physical systems. ACM Comput. Surv. (CSUR) 46(4), 55 (2014)CrossRefGoogle Scholar
- 17.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)Google Scholar
- 18.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)Google Scholar
- 19.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)Google Scholar
- 20.Yan, Z., Zhang, P., Vasilakos, A.V.: A survey on trust management for internet of things. J. Netw. Comput. Appl. 42, 120–134 (2014)CrossRefGoogle Scholar