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Towards pre-standardization of trust and reputation models for distributed and heterogeneous systems
Affiliation:1. Computer Science Department, Universidad Católica de Murcia, 30107 Murcia, Spain;2. Computer Engineering Department, University of Murcia, 30100 Murcia, Spain;1. Networking and Information Technology Lab (NetIT Lab), Technical University of Catalonia (UPC), Spain;2. Advanced Network Architectures Lab (CRAAX), Technical University of Catalonia (UPC), Spain;3. Centre for Distance-Spanning Technology (CDT), Lulea˚ University of Technology, Sweden;4. IT Innovation, UK;5. THALES Group, France;6. Institut National de Recherche en Informatique et Automatique (INRIA), France;7. Software Quality System, Spain;8. Fraunhofer Institute FOKUS, Germany;9. Engineering, Ingegneria Informatica, Italy;10. Institute of Communications and Computer Systems (ICCS), National Technical University of Athens (NTUA), Greece;11. Poznan Supercomputing and Networking Center (PSNC), Poland;12. University of Geneva, Switzerland;13. Technische Universitaet Braunschweig (TUBS), Germany;14. University of Sao Paulo, Brazil;15. ActiveEon, France;1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;2. School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;3. Southwestern Institute of Physics, Chengdu, Sichuan, China
Abstract:Different trust and/or reputation models have arisen in the last few years. All of them have certain key processes in common such as scoring, ranking, rewarding, punishing or gathering behavioral information. However, there is not a standardization effort for these kinds of models. Such effort would be beneficial for distributed systems such as P2P, ad-hoc networks, multi-agent systems or Wireless Sensor Networks. In this paper we present a pre-standardization approach for trust and/or reputation models in distributed systems. A wide review of them has been carried out, extracting common properties and providing some pre-standardization recommendations. A global comparison has been done for the most relevant models against these conditions, and an interface proposal for trust and/or reputation models has been proposed.
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