Skip to main content
SpringerLink
Log in

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

  • Published:
Frontiers of Information Technology & Electronic Engineering Aims and scope Submit manuscript

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • 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. http://dx.doi.org/10.1016/j.adhoc.2010.09.005

    Article  Google Scholar 

  • 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. http://dx.doi.org/10.1016/j.eswa.2012.05.084

    Article  Google Scholar 

  • 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. https://doi.org/10.1007/978-0-387-09751-0_37

    Google Scholar 

  • 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. http://dx.doi.org/10.1109/TVT.2008.2005415

    Article  Google Scholar 

  • 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. http://dx.doi.org/10.1109/TNET.2014.2329956

    Article  Google Scholar 

  • 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. http://dx.doi.org/10.1109/TNET.2016.2530070

    Article  Google Scholar 

  • 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. http://dx.doi.org/10.1109/ICCKE.2012.6395398

    Google Scholar 

  • 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. http://dx.doi.org/10.14445/22315381/IJETT-V8P269

    Article  Google Scholar 

  • 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. http://dx.doi.org/10.1109/SCC.2016.121

    Google Scholar 

  • 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. http://dx.doi.org/10.1145/775152.775242

    Google Scholar 

  • 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. http://dx.doi.org/10.1109/PIMRC.2009.5450083

    Google Scholar 

  • Largillier, T., Vassileva, J., 2012. Using collective trust for group formation. LNCS, 7493: 137–144. http://dx.doi.org/10.1007/978-3-642-33284-5_12

    Google Scholar 

  • Leskovec, J., Huttenlocher, D., Kleinberg, J., 2010. Signed networks in social media. Proc. SIGCHI Conf. on Human Factors in Computing Systems, p.1361–1370. http://dx.doi.org/10.1145/1753326.1753532

    Google Scholar 

  • 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. http://dx.doi.org/10.1109/HICSS.2005.493

    Chapter  Google Scholar 

  • 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. http://dx.doi.org/10.1007/978-81-322-2250-7_54

    Google Scholar 

  • 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). http://dx.doi.org/10.3724/sp.j.1001.2008.00404

    Article  Google Scholar 

  • 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. http://dx.doi.org/10.1109/euc.2010.79

    Google Scholar 

  • 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. http://dx.doi.org/10.1016/j.comcom.2011.07.008

    Article  Google Scholar 

  • Ranjan, R., Zhao, L., 2013. Peer-to-peer service provisioning in cloud computing environments. J. Supercomput., 65(1): 154–184. http://dx.doi.org/10.1007/s11227-011-0710-5

    Article  Google Scholar 

  • 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. http://dx.doi.org/10.1145/570738.570750

    Google Scholar 

  • 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. http://dx.doi.org/10.1109/3pgcic.2012.50

    Google Scholar 

  • 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 

  • 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. http://dx.doi.org/10.1007/978-3-642-14654-1_1

    Google Scholar 

  • 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). http://dx.doi.org/10.3724/sp.j.1016..2010.00345

    Article  Google Scholar 

  • Tian, H.R., Zou, S.H., Wang, W.D., et al., 2006. A group based reputation system for P2P networks. LNCS, 4158: 342–351. http://dx.doi.org/10.1007/11839569_33

    Google Scholar 

  • Wu, X., 2011. A stable group-based trust management scheme for mobile P2P networks. Int. J. Dig. Cont. Technol. Appl., 5(2): 116–125. http://dx.doi.org/10.4156/jdcta.vol5.issue2.13

    Google Scholar 

  • Xiong, L., Liu, L., 2004. PeerTrust: supporting reputationbased trust for peer-to-peer electronic communities. IEEE Trans. Knowl. Data Eng., 16(7): 843–857. http://dx.doi.org/10.1109/TKDE.2004.1318566

    Article  Google Scholar 

  • 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. http://dx.doi.org/10.1007/s12083-015-0411-6

    Article  MathSciNet  Google Scholar 

  • 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.

  • 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. http://dx.doi.org/10.1109/IPDPS.2009.5161240

    Google Scholar 

  • 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. http://dx.doi.org/10.1109/TPDS.2007.1021

    Article  Google Scholar 

  • 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. http://dx.doi.org/10.1109/TKDE.2008.48

    Article  Google Scholar 

  • 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. http://dx.doi.org/10.1109/WCNC.2007.538

    Google Scholar 

  • 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. http://dx.doi.org/10.1109/TPDS.2007.70725

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Computer Science and Technology, Harbin Engineering University, Harbin, 150001, China

    Mei-juan Jia, Hui-qiang Wang & Guang-sheng Feng

  2. College of Computer Science and Information Technology, Daqing Normal University, Daqing, 163712, China

    Mei-juan Jia

  3. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China

    Jun-yu Lin

  4. College of Tourism, Guilin University of Technology, Guilin, 541001, China

    Hai-tao Yu

Authors
  1. Mei-juan Jia
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hui-qiang Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jun-yu Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Guang-sheng Feng
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Hai-tao Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jun-yu Lin.

Additional information

Project supported by the National Natural Science Foundation of China (Nos. 61502118, 61370212, and 61402127) and the Natural Science Foundation of Heilongjiang Province, China (Nos. F2015029 and QC2015070)

A preliminary version was presented at the 13th IEEE International Conference on Services Computing, June 27–July 2, 2016, San Francisco, USA

ORCID: Jun-yu LIN, http://orcid.org/0000-0003-4807-0609

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jia, Mj., Wang, Hq., Lin, Jy. et al. DGTM: a dynamic grouping based trust model for mobile peer-to-peer networks. Frontiers Inf Technol Electronic Eng 18, 559–569 (2017). https://doi.org/10.1631/FITEE.1601535

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1631/FITEE.1601535

Key words

CLC number

Search

Navigation