DGTM: a dynamic grouping based trust model for mobile peer-to-peer networks

  • Mei-juan Jia
  • Hui-qiang Wang
  • Jun-yu Lin
  • Guang-sheng Feng
  • Hai-tao Yu


The special characteristics of the mobile environment, such as limited bandwidth, dynamic topology, heterogeneity of peers, and limited power, pose additional challenges on mobile peer-to-peer (MP2P) networks. Trust management becomes an essential component of MP2P networks to promote peer transactions. However, in an MP2P network, peers frequently join and leave the network, which dynamically changes the network topology. Thus, it is difficult to establish long-term and effective trust relationships among peers. In this paper, we propose a dynamic grouping based trust model (DGTM) to classify peers. A group is formed according to the peers’ interests. Within a group, mobile peers share resources and tend to keep stable trust relationships. We propose three peer roles (super peers, relay peers, and ordinary peers) and two novel trust metrics (intragroup trust and intergroup trust). The two metrics are used to accurately measure the trust between two peers from the same group or from different groups. Simulations illustrate that our proposed DGTM always achieves the highest successful transaction rate and the best communication overhead under different circumstances.

Key words

Mobile P2P networks Trust management Dynamic grouping Super peer 

CLC number



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  1. Almenárez, F., Marín, A., Díaz, D., et al., 2011. Trust management for multimedia P2P applications in autonomic networking. Ad Hoc Netw., 9(4): 687–697. Scholar
  2. Al-Oufi, S., Kim, H.N., El Saddik, A., 2012. A group trust metric for identifying people of trust in online social networks. Expert Syst. Appl., 39(18): 13173–13181. Scholar
  3. Castro, M.C., Kassler, A.J., Chiasserini, C.F., et al., 2009. Peer-to-peer overlay in mobile ad-hoc networks. In: Shen, X.M., Yu, H., Buford, J., et al. (Eds.), Handbook of Peer-to-Peer Networking. Springer US,p.1045–1080. Scholar
  4. Chang, B.J., Kuo, S.L., 2009. Markov chain trust model for trust-value analysis and key management in distributed multicast MANETs. IEEE Trans. Veh. Technol., 58(4): 1846–1863. Scholar
  5. Chen, X., Proulx, B., Gong, X.W., et al., 2015. Exploiting social ties for cooperative D2D communications: a mobile social networking case. IEEE/ACM Trans. Netw., 23(5): 1471–1484. Scholar
  6. Chen, X., Gong, X.W., Yang, L., et al., 2016. Exploiting social tie structure for cooperative wireless networking: a social group utility maximization framework. IEEE/ACM Trans. Netw., 24(6): 3593–3606. Scholar
  7. Easa, F.R., Bafghi, A.G., Shakeri, H., 2012. A groupbased trust propagation method. 2nd Int. eConf. on Computer and Knowledge Engineering, p.313–317. Scholar
  8. Jeyaraj, J.A.S., Subadra, S., 2014. A study on dynamic source routing in ad hoc wireless networks. Int. J. Eng. Trends Technol., 8(7): 401–410. Scholar
  9. Jia, M.J., Wang, H.Q., Ye, B., et al., 2016. A dynamic grouping-based trust model for mobile P2P networks. 13th IEEE Int. Conf. on Services Computing, p.848–851. Scholar
  10. Kamvar, S.D., Schlosser, M.T., Garcia-Molina, H., 2003. The eigentrust algorithm for reputation management in P2P networks. Proc. 12th Int. Conf. on World Wide Web, p.640–651. Scholar
  11. Kassinen, O., Harjula, E., Korhonen, J., et al., 2009. Battery life of mobile peers with UMTS and WLAN in a Kademlia-based P2P overlay. 20th Int. Symp. on Personal, Indoor and Mobile Radio Communications, p.662–665. Scholar
  12. Largillier, T., Vassileva, J., 2012. Using collective trust for group formation. LNCS, 7493: 137–144. Scholar
  13. Leskovec, J., Huttenlocher, D., Kleinberg, J., 2010. Signed networks in social media. Proc. SIGCHI Conf. on Human Factors in Computing Systems, p.1361–1370. Scholar
  14. Liang, Z.Q., Shi, W.S., 2005. PET: a PErsonalized Trust model with reputation and risk evaluation for P2P resource sharing. Proc. 38th Annual Hawaii Int. Conf. on System Sciences, p.201b. Scholar
  15. Nayak, J., Naik, B., Kanungo, D.P., et al., 2015. An improved swarm based hybrid K-means clustering for optimal cluster centers. 2nd Int. Conf. on Information Systems Design and Intelligent Applications, p.545–553. Scholar
  16. Ou, Z.H., Song, M.N., Zhan, X.S., et al., 2008. Key techniques for mobile peer-to-peer networks. J. Softw., 19(2): 404–418 (in Chinese). Scholar
  17. Qureshi, B., Min, G., Kouvatsos, D., 2010. M-Trust: a trust management scheme for mobile P2P networks. IEEE/IFIP 8th Int. Conf. on Embedded and Ubiquitous Computing, p.476–483. Scholar
  18. Qureshi, B., Min, G., Kouvatsos, D., 2012. A distributed reputation and trust management scheme for mobile peer-to-peer networks. Comput. Commun., 35(5): 608–618. Scholar
  19. Ranjan, R., Zhao, L., 2013. Peer-to-peer service provisioning in cloud computing environments. J. Supercomput., 65(1): 154–184. Scholar
  20. Ratnasamy, S., Karp, B., Yin, L., et al., 2002. GHT: a geographic hash table for data-centric storage. ACM Int. Workshop on Wireless Sensor Networks and Applications, p.78–87. Scholar
  21. Spaho, E., Kulla, E., Xhafa, F., et al., 2012. P2P solutions to efficient mobile peer collaboration in MANETs. 7th Int. Conf. on P2P, Parallel, Grid, Cloud and Internet Computing. Scholar
  22. Sun, Z.X., Tang, Y.W., 2007. Multilayer and grouping P2P trust model based on global reputation. J. Commun., 28(9): 133–140 (in Chinese).Google Scholar
  23. Tan, H., Wang, Y., Hao, X.H., et al., 2010. Arbitrary obstacles constrained full coverage in wireless sensor networks. Proc. 5th Int. Conf. on Wireless Algorithms, Systems, and Applications, p.1–10. Scholar
  24. Tian, C., Jiang, J., Hu, Z., et al., 2010. A novel super-peer based trust model for peer-to-peer networks. Chin. J. Comput., 33(2): 345–355 (in Chinese). Scholar
  25. Tian, H.R., Zou, S.H., Wang, W.D., et al., 2006. A group based reputation system for P2P networks. LNCS, 4158: 342–351. Scholar
  26. Wu, X., 2011. A stable group-based trust management scheme for mobile P2P networks. Int. J. Dig. Cont. Technol. Appl., 5(2): 116–125. Scholar
  27. Xiong, L., Liu, L., 2004. PeerTrust: supporting reputationbased trust for peer-to-peer electronic communities. IEEE Trans. Knowl. Data Eng., 16(7): 843–857. Scholar
  28. Yang, H.S., Sun, J.H., 2016. A study on hybrid trust evaluation model for identifying malicious behavior in mobile P2P. Peer-to-Peer Netw. Appl., 9(3): 578–587. Scholar
  29. Yates, J.S., Storch, M.F., Nijhawan, S., et al., 2012. Apparatus for Executing Programs for a First Computer Architecture on a Computer of a Second Architecture. US Patent 8 127 121.Google Scholar
  30. Zhang, Y.C., Chen, S.S., Yang, G., 2009. SFTrust: a double trust metric based trust model in unstructured P2P system. IEEE Int. Symp. on Parallel & Distributed Processing, p.1–7. Scholar
  31. Zhou, R.F., Hwang, K., 2007. PowerTrust: a robust and scalable reputation system for trusted peer-to-peer computing. IEEE Trans. Parall. Distr. Syst., 18(4): 460–473. Scholar
  32. Zhou, R.F., Hwang, K., Cai, M., 2008. GossipTrust for fast reputation aggregation in peer-to-peer networks. IEEE Trans. Knowl. Data Eng., 20(9): 1282–1295. Scholar
  33. Zhu, H.F., Bao, F., 2007. Quantifying trust metrics of recommendation systems in ad-hoc networks. IEEE Wireless Communications and Networking Conf., p.2904–2908. Scholar
  34. Zhuge, H., Chen, X., Sun, X.P., et al., 2008. HRing: a structured P2P overlay based on harmonic series. IEEE Trans. Parall. Distr. Syst., 19(2): 145–158. Scholar

Copyright information

© Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  • Mei-juan Jia
    • 1
    • 2
  • Hui-qiang Wang
    • 1
  • Jun-yu Lin
    • 3
  • Guang-sheng Feng
    • 1
  • Hai-tao Yu
    • 4
  1. 1.College of Computer Science and TechnologyHarbin Engineering UniversityHarbinChina
  2. 2.College of Computer Science and Information TechnologyDaqing Normal UniversityDaqingChina
  3. 3.Institute of Information EngineeringChinese Academy of SciencesBeijingChina
  4. 4.College of TourismGuilin University of TechnologyGuilinChina

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