The Impact of Increasing Number of Nodes on the Performance of Well-Known Trust and Reputation Models for Wireless Sensor Networks
Öz
In recent years, several trust and reputation management models have been proposed to address the security issues of wireless sensor networks. In wireless sensor networks, trust and reputation management systems basically allow sensor nodes to make their own opinion about how trustworthy other nodes are so that a higher number of successful transactions can be obtained and the probability of being defrauded reduced. To assess the performance of trust and reputation management systems a number of performance metrics were proposed. In this study, with the aim of finding out the most suitable trust and reputation model when the number of sensor nodes involved in a wireless sensor network has been increased, the performance of EigenTrust, Linguistic Fuzzy Trust Mechanism, PeerTrust and PowerTrust is evaluated in terms of accuracy rate and path length. The reason for focusing on this is that if a trust and reputation model is able to achieve the same accuracy rate and path length performance without any performance degradation when more sensor nodes are involved in the network, it can be considered as scalable. The results of our simulation studies prove that compared to the other models, Linguistic Fuzzy Trust Mechanism provides higher accuracy and less path length scores and is more suitable for large-scale deployments of wireless sensor networks.
Cite this article as: Tuna G, Daş R. The Impact of Increasing Number of Nodes on the Performance of Well-Known Trust and Reputation Models for Wireless Sensor Networks. Electrica, 10.26650/electrica.2020.19086.
Anahtar Kelimeler
Wireless sensor network node population eigentrust linguistic fuzzy trust mechanism peertrust powertrust accuracy range
Kaynakça
- 1. J. Grover, S. Sharma, “Security issues in Wireless Sensor Network - A review”, Proceedings of the 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India, 2016. [CrossRef] 2. S. Li, Y. Li, “Distributed Range-Free Localization of Wireless Sensor Networks via Nonlinear Dynamics”, in Wireless Sensor Networks - Technology and Protocols, Eds. Mohammad A. Matin, Intech Open, 2012. 3. S. Ganeriwal, M. Srivastava, “Reputation-based framework for high integrity sensor networks”, Proceedings of the 2nd ACM workshop on Security of ad hoc and sensor networks, Washington DC, USA, pp. 66-77, 2004. [CrossRef] 4. F. G. Marmol, G. M. Perez, “Trust and reputation models comparison”, Internet Research, vol. 21, no. 2, pp. 138-153, 2011. [CrossRef] 5. S. Kamvar, M. Schlosser, H. Garcia-Molina, “The EigenTrust Algorithm for Reputation Management in P2P Networks”, WWW03: Proceedings of the 12th international conference on World Wide Web, pp. 640-651, 2003. [CrossRef] 6. F. G. Marmol, J. G. Marin-Blazquez, G. M. Perez, “LFTM, Linguistic Fuzzy Trust Mechanism for Distributed Networks”, Concurrency and Computation: Practice & Experience, 2012. 7. L. Xiong, L. Liu, “PeerTrust: Supporting Reputation-Based Trust in Peer-to-Peer Communities”, IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 7, pp. 843-857, 2004. [CrossRef] 8. R. Zhou, K. Hwang, “PowerTrust: A Robust and Scalable Reputation System for Trusted Peer-to-Peer Computing”, IEEE Transactions on Parallel and Distributed Systems, vol. 18, no. 4, pp. 460-473, 2007. [CrossRef] 9. F. G. Marmol, G. M. Perez, “Providing Trust in Wireless Sensor Networks using a Bio-inspired Technique”, Telecommunication Systems Journal, vol. 46, no. 2, pp. 163-180, 2011. [CrossRef] 10. M. Dorigo, T. Stützle. Ant Colony Optimization. Bradford Book: Cambridge, MA, 2004. [CrossRef] 11. M. Dorigo, V. Maniezzo, A. Colorni, “Ant System: Optimization by a colony of cooperating agents”, IEEE Transactions on Systems, Man, and Cybernetics-Part B, vol. 26, no. 1, pp. 29-41, 1996. [CrossRef] 12. S. Marti, H. Garcia-Molina, “Taxonomy of trust: categorizing P2P reputation systems”, Computer Networks, vol. 50, no. 4, pp. 472-484, 2006. [CrossRef] 13. H. Alzaid, M. Alfaraj, S. Ries, A. Jøsang, M. Albabtain, A. Abuhaimed, “Reputation-Based Trust Systems for Wireless Sensor Networks: A Comprehensive Review”, 7th Trust Management (TM), Jun 2013, Malaga, Spain. pp. 66-82. [CrossRef] 14. F. G. Marmol, G. M. Perez, “TRMSim-WSN, trust and reputation models simulator for wireless sensor networks”, in Proceedings of the IEEE International Conference on Communications, Dresden, Germany, 2009. [CrossRef] 15. X. Yin, S. Li, S., “Trust evaluation model with entropy-based weight assignment for malicious node’s detection in wireless sensor networks”, EURASIP Journal on Wireless Communications and Networking, vol. 2019, pp. 198, 2019. [CrossRef] 16. G. Han, J. Jiang, L. Shu, J. Niu, H.-C. Chao, “Management and applications of trust in Wireless Sensor Networks: A survey”, Journal of Computer and System Sciences, vol. 80, no. 3, pp. 602-617, 2014. [CrossRef] 17. J. Zhao, J. Huang, & N. Xiong, “An Effective Exponential-Based Trust and Reputation Evaluation System in Wireless Sensor Networks”, IEEE Access, vol. 7, pp. 33859-33869, 2019. [CrossRef] 18. Z. Chen, L. Tian, & C. Lin, “Trust Model of Wireless Sensor Networks and Its Application in Data Fusion”, Sensors (Basel), vol. 17, no. 3, pp. 703, 2017. [CrossRef] 19. D.D.S. Braga, M. Niemann, B. Hellingrath, F.B.D.L. Neto, “Survey on Computational Trust and Reputation Models”, ACM Computing Surveys, vol. 51, no. 5, pp. 101, 2019. [CrossRef]
Öz
Kaynakça
- 1. J. Grover, S. Sharma, “Security issues in Wireless Sensor Network - A review”, Proceedings of the 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India, 2016. [CrossRef] 2. S. Li, Y. Li, “Distributed Range-Free Localization of Wireless Sensor Networks via Nonlinear Dynamics”, in Wireless Sensor Networks - Technology and Protocols, Eds. Mohammad A. Matin, Intech Open, 2012. 3. S. Ganeriwal, M. Srivastava, “Reputation-based framework for high integrity sensor networks”, Proceedings of the 2nd ACM workshop on Security of ad hoc and sensor networks, Washington DC, USA, pp. 66-77, 2004. [CrossRef] 4. F. G. Marmol, G. M. Perez, “Trust and reputation models comparison”, Internet Research, vol. 21, no. 2, pp. 138-153, 2011. [CrossRef] 5. S. Kamvar, M. Schlosser, H. Garcia-Molina, “The EigenTrust Algorithm for Reputation Management in P2P Networks”, WWW03: Proceedings of the 12th international conference on World Wide Web, pp. 640-651, 2003. [CrossRef] 6. F. G. Marmol, J. G. Marin-Blazquez, G. M. Perez, “LFTM, Linguistic Fuzzy Trust Mechanism for Distributed Networks”, Concurrency and Computation: Practice & Experience, 2012. 7. L. Xiong, L. Liu, “PeerTrust: Supporting Reputation-Based Trust in Peer-to-Peer Communities”, IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 7, pp. 843-857, 2004. [CrossRef] 8. R. Zhou, K. Hwang, “PowerTrust: A Robust and Scalable Reputation System for Trusted Peer-to-Peer Computing”, IEEE Transactions on Parallel and Distributed Systems, vol. 18, no. 4, pp. 460-473, 2007. [CrossRef] 9. F. G. Marmol, G. M. Perez, “Providing Trust in Wireless Sensor Networks using a Bio-inspired Technique”, Telecommunication Systems Journal, vol. 46, no. 2, pp. 163-180, 2011. [CrossRef] 10. M. Dorigo, T. Stützle. Ant Colony Optimization. Bradford Book: Cambridge, MA, 2004. [CrossRef] 11. M. Dorigo, V. Maniezzo, A. Colorni, “Ant System: Optimization by a colony of cooperating agents”, IEEE Transactions on Systems, Man, and Cybernetics-Part B, vol. 26, no. 1, pp. 29-41, 1996. [CrossRef] 12. S. Marti, H. Garcia-Molina, “Taxonomy of trust: categorizing P2P reputation systems”, Computer Networks, vol. 50, no. 4, pp. 472-484, 2006. [CrossRef] 13. H. Alzaid, M. Alfaraj, S. Ries, A. Jøsang, M. Albabtain, A. Abuhaimed, “Reputation-Based Trust Systems for Wireless Sensor Networks: A Comprehensive Review”, 7th Trust Management (TM), Jun 2013, Malaga, Spain. pp. 66-82. [CrossRef] 14. F. G. Marmol, G. M. Perez, “TRMSim-WSN, trust and reputation models simulator for wireless sensor networks”, in Proceedings of the IEEE International Conference on Communications, Dresden, Germany, 2009. [CrossRef] 15. X. Yin, S. Li, S., “Trust evaluation model with entropy-based weight assignment for malicious node’s detection in wireless sensor networks”, EURASIP Journal on Wireless Communications and Networking, vol. 2019, pp. 198, 2019. [CrossRef] 16. G. Han, J. Jiang, L. Shu, J. Niu, H.-C. Chao, “Management and applications of trust in Wireless Sensor Networks: A survey”, Journal of Computer and System Sciences, vol. 80, no. 3, pp. 602-617, 2014. [CrossRef] 17. J. Zhao, J. Huang, & N. Xiong, “An Effective Exponential-Based Trust and Reputation Evaluation System in Wireless Sensor Networks”, IEEE Access, vol. 7, pp. 33859-33869, 2019. [CrossRef] 18. Z. Chen, L. Tian, & C. Lin, “Trust Model of Wireless Sensor Networks and Its Application in Data Fusion”, Sensors (Basel), vol. 17, no. 3, pp. 703, 2017. [CrossRef] 19. D.D.S. Braga, M. Niemann, B. Hellingrath, F.B.D.L. Neto, “Survey on Computational Trust and Reputation Models”, ACM Computing Surveys, vol. 51, no. 5, pp. 101, 2019. [CrossRef]
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Konular | Mühendislik |
| Bölüm | Makaleler |
| Yazarlar | |
| Yayımlanma Tarihi | 27 Ağustos 2019 |
| Yayımlandığı Sayı | Yıl 2019 |
Kaynak Göster
- Makale Dosyaları