Self-organized cluster based energy efficient meta trust model for internet of things
| Autor: | Reena Varghese, Carynthia Kharkongor, T. Chithralekha |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry 020206 networking & telecommunications Cloud computing 02 engineering and technology Energy consumption Computer security computer.software_genre Reputation system 020204 information systems Scalability 0202 electrical engineering electronic engineering information engineering Wireless The Internet Computational trust business computer Efficient energy use Computer network |
| Zdroj: | 2016 IEEE International Conference on Engineering and Technology (ICETECH). |
| Popis: | This paper explores the trust management in the internet of thing. Internet of thing merged up from the concept of wireless technology and the internet. Internet of thing is the direct communication between different heterogeneous things. Here, the things are active participants that interact and communicate with each other as well as the environment i.e. they are self-organized. Since it does not have any centralized architecture, fixed topology and keep on changing their position dynamically, the nodes are vulnerable to internal security attacks. The traditional reputation system for trust management may be effective but they rely on the historical information which may fail to detect the dynamic behavior of the nodes that may repeatedly change its behavior in order to maximize its profit and there is no provision provided for the newcomers in the network to form trust. Thus in this paper, a self-organized cluster based energy efficient trust management is proposed in which the energy consumption of each node will be decreased by forming clusters, which in turn would provide scalability and also help to eliminate the selfish nodes. A pattern matching trust model is used to provide a full confident trust on the nodes and at the same time identity of the node is considered to punish the malicious node so that it does not intrude in the network in the future. |
| Databáze: | OpenAIRE |
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