Cluster Computing

, Volume 22, Supplement 5, pp 12227–12232 | Cite as

Soft computing approach based malicious peers detection using geometric and trust features in P2P networks

  • T. PremakumariEmail author
  • M. Chandrasekaran


The attacks in P2P networks can be classified into two types: passive and active attacks. Passive attacks refer to the attempts made by malicious nodes to perceive the activities, whereas the active attacks are attacks performed by the malicious nodes that bear some energy cost to perform the attack. Malicious peer detection in P2P networks is a complication task due to the similar characteristics between trusty peer and malicious peer. This paper focuses the malicious peer detection system using feed forward back propagation neural networks. The characteristic features such as Geometric and Trust features are extracted from the peers in P2P networks and these extracted features are trained and classified using neural networks. The performance of the proposed malicious peer detection system is analyzed in terms of latency and detection rate.


Attacks Malicious peers Neural networks Features Trust 


  1. 1.
    Ren, S., Guo, L., Zhang, X.: ASAP: An AS-aware peer-relay protocol for high quality VoIP. In: proceedings of IEEE International Conference on Distributed Computing Systems, pp. 70–79 (2006)Google Scholar
  2. 2.
    Gummadi, K., Gummadi, R., Gribble, S., Ratnasamy, S., Shenker, S., Stoica, I.: The impact of DHT routing geometry on resilience and proximity. In: Proceedings of ACM SIGCOMM, (2003)Google Scholar
  3. 3.
    Francis, P., Jami, S., Jin, C., Jin, Y., Raz, D., Shavitt, Y., Zhang, L.: IDMaps: a global internet host distance estimation service. In: Proceedings of the IEEE/ACM Transactions on Networking, (2001)Google Scholar
  4. 4.
    Xie, H., Krishnamurthy, A., Silberschatz, A., Yang, Y.R.: P4P: explicit communications for cooperative control between P2P and network providers.
  5. 5.
    Lei, J., Shi, L., Fu, X.: An experimental analysis of Joost peer-topeer VoD service. GeorgAugust-Universität Göttingen, Technischer Bericht des Instituts für Informatik (2007)Google Scholar
  6. 6.
    Sun, Q., Garcia-Molina, H.: Partial lookup services. In: Proceedings of the 23rd International Conference on Distributed Computing Systems (ICDCS) (2003)Google Scholar
  7. 7.
    Yang, B., Garcia-Molina, H.: Improving efficiency of peer-to-peer search. In: Proceedings of the of the 28th International Conference on istributed Computing Systems, (2002)Google Scholar
  8. 8.
    Wang, C.-C., Lin, Y.-D.: CDNPatch: a cost-effective failover mechanism for hybrid CDN-P2P live streaming systems. Int. J. Commun. Syst. 29(17), 2517–2533 (2016)CrossRefGoogle Scholar
  9. 9.
    Shen, H., Lin, Y., Li, J.: A social-network-aided efficient peer-to-peer live streaming system. IEEE/ACM Transact. Netw. 23(3), 987–1000 (2015)CrossRefGoogle Scholar
  10. 10.
    Zhang, J., Yang, C., Zhang, X.: A high-bandwidth live streaming model in mesh-based Peer-to-Peer networks. IEEE Commun. Lett. 20(12), 2390–2393 (2016)CrossRefGoogle Scholar
  11. 11.
    Zaitsev, D.A., Shmeleva, T.R., Retschitzegger, W., Pröll, B.: Security of grid structures under disguised traffic attacks. Clust. Comput. 19(3), 1183–1200 (2016)CrossRefGoogle Scholar
  12. 12.
    Efthymiopoulos, N., Christakidis, A., Efthymiopoulou, M., Corazza, L., Denazis, S.: Congestion control for P2P live streaming. Int. J. Peer Peer Netw. 6(2), 21 (2015)Google Scholar
  13. 13.
    Varatharajan, R., Manogaran, G., Priyan, M.K., Sundarasekar, R.: Wearable sensor devices for early detection of Alzheimer disease using dynamic time warping algorithm. Clust. Comput. (2017)

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Sona College of TechnologyAnna UniversitySalemIndia
  2. 2.Government College of EngineeringAnna UniversityBargurIndia

Personalised recommendations