Abstract
The emergence of the Internet of Things (IoT) is a result of convergence between multiple technologies, like Internet, wireless communication, embedded systems, microelectronic systems and nanotechnology. In 2016, 5.5 million objects are connected every day in the world. A number that could quickly reach billions by 2020 [1]. Gartner predicts that 26 billion objects will be installed in 2020. The market for connected objects could range from a few tens of billions to up to several thousand billion units. Among the vital components of IoT, we find wireless sensor networks (WSNs). Wireless sensor networks as a vital component of the IoT, allow the representation of dynamic characteristics of the real world in the virtual world of the Internet. Nevertheless, the opening of these types of network to the Internet presents a serious problem stand point security. For that, the implementation of intrusion detection mechanisms is essential to limit the internal and external attacks that threaten the smooth running of the network. In this paper, we propose an efficient trust management model which seeks deeply through the nodes to detect attacks that threaten wireless sensor networks. Our model includes a geographical localization system used to identify the nodes location. Although, it includes a set of rules detection attacks based on different parameter analysis. Furthermore, we propose a mathematical model for trust establishment and its update on the network. During the simulations we observe an improvement of the efficiency of the implemented geo-location model and also a reasonable energy consumption. Similarly, we have been able to evince the efficiency of our model in terms of attacks detection rate.
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Maddar, H., Kammoun, W., Youssef, H. (2018). Effective Centralized Trust Management Model for Internet of Things. In: Yin, H., Camacho, D., Novais, P., Tallón-Ballesteros, A. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2018. IDEAL 2018. Lecture Notes in Computer Science(), vol 11314. Springer, Cham. https://doi.org/10.1007/978-3-030-03493-1_6
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DOI: https://doi.org/10.1007/978-3-030-03493-1_6
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