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Uniform and Ergodic Sampling in Unstructured Peer-to-Peer Systems with Malicious Nodes

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Principles of Distributed Systems (OPODIS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6490))

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Abstract

We consider the problem of uniform sampling in large scale open systems. Uniform sampling is a fundamental primitive that guarantees that any individual in a population has the same probability to be selected as sample. An important issue that seriously hampers the feasibility of uniform sampling in open and large scale systems is the unavoidable presence of malicious nodes. In this paper we show that restricting the number of requests that malicious nodes can issue and allowing for a full knowledge of the composition of the system is a necessary and sufficient condition to guarantee uniform and ergodic sampling. In a nutshell, a uniform and ergodic sampling guarantees that any node in the system is equally likely to appear as a sample at any non malicious node in the system and that infinitely often any node has a non-null probability to appear as a sample of honest nodes.

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References

  1. Jelasity, M., Voulgaris, S., Guerraoui, R., Kermarrec, A.M., van Steen, M.: Gossip-based Peer Sampling. ACM Transaction on Computer System 25(3) (2007)

    Google Scholar 

  2. Bertier, M., Busnel, Y., Kermarrec, A.M.: On Gossip and Populations. In: Kutten, S., Žerovnik, J. (eds.) SIROCCO 2009. LNCS, vol. 5869, pp. 72–86. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  3. Karger, D.R., Ruhl, M.: Simple Efficient Load Balancing Algorithms for Peer-to-Peer. In: Voelker, G.M., Shenker, S. (eds.) IPTPS 2004. LNCS, vol. 3279, pp. 131–140. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  4. Lv, Q., Cao, P., Cohen, E., Li, K., Shenker, S.: Search and Replication in Unstructured Peer-to-Peer Networks. In: Proceedings of the International Conference on Supercomputing (ICS), pp. 84–95 (2002)

    Google Scholar 

  5. Massoulié, L., Merrer, E.L., Kermarrec, A.M., Ganesh, A.: Peer Counting and Sampling in Overlay Networks: Random Walk Methods. In: Proceedings of the 25th Annual Symposium on Principles of Distributed Computing (PODC), pp. 123–132. ACM Press, New York (2006)

    Google Scholar 

  6. Busnel, Y., Beraldi, R., Baldoni, R.: A Formal Characterization of Uniform Peer Sampling Based on View Shuffling. In: Proceedings of the International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), pp. 360–365. IEEE Computer Society, Los Alamitos (2009)

    Google Scholar 

  7. Gurevich, M., Keidar, I.: Correcness of Gossip-Based Membership under Message Loss. In: Proceedings of the 28th Annual Symposium on Principles of Distributed Computing (PODC), Calgary, AL, Canada. ACM Press, New York (2009)

    Google Scholar 

  8. Bakhshi, R., Gavidia, D., Fokkink, W., van Steen, M.: An Analytical Model of Information Dissemination for a Gossip-based Protocol. Computer Networks 53(13), 2288–2303 (2009)

    Article  MATH  Google Scholar 

  9. Karp, R., Schindelhauer, C., Shenker, S., Vocking, B.: Randomized Rumor Spreading. In: the 41st Annual Symposium on Foundations of Computer Science (FOCS), p. 565. IEEE Computer Society, Los Alamitos (2000)

    Chapter  Google Scholar 

  10. Voulgaris, S., Gavidia, D., van Steen, M.: CYCLON: Inexpensive Membership Management for Unstructured P2P Overlays. Journal of Network System Management 13(2), 197–217 (2005)

    Article  Google Scholar 

  11. Stutzbach, D., Rejaie, R., Duffield, N., Sen, S., Willinger, W.: On Unbiased Sampling for Unstructured Peer-to-Peer Networks. IEEE/ACM Transactions on Networking 17(02), 377–390 (2009)

    Article  Google Scholar 

  12. Bollobás, B.: Random Graphs, 2nd edn. Cambridge University Press, Cambridge (2001)

    Book  MATH  Google Scholar 

  13. Zhong, M., Shen, K., Seiferas, J.: Non-uniform Random Membership Management in Peer-to-Peer Networks. In: Proceedings of the 24th Annual Joint Conference of the Computer and Communications Societies (INFOCOM). IEEE Press, Los Alamitos (2005)

    Google Scholar 

  14. Awan, A., Ferreira, R.A., Jagannathan, S., Grama, A.: Distributed Uniform Sampling in Unstructured Peer-to-Peer Networks. In: Proceedings of the 39th Annual Hawaii International Conference on System Sciences, HICSS (2006)

    Google Scholar 

  15. Sit, E., Morris, R.: Security Considerations for Peer-to-Peer Distributed Hash Tables. In: Druschel, P., Kaashoek, M.F., Rowstron, A. (eds.) IPTPS 2002. LNCS, vol. 2429, pp. 261–269. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  16. Bortnikov, E., Gurevich, M., Keidar, I., Kliot, G., Shraer, A.: Brahms: Byzantine Resilient Random Membership Sampling. Computer Networks 53, 2340–2359 (2009); A former version appeared in the 27th ACM Symposium on Principles of Distributed Computing (PODC) (2008)

    Article  MATH  Google Scholar 

  17. Awerbuch, B., Scheideler, C.: Group Spreading: A Protocol for Provably Secure Distributed Name Service. In: Díaz, J., Karhumäki, J., Lepistö, A., Sannella, D. (eds.) ICALP 2004. LNCS, vol. 3142, pp. 183–195. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  18. Jesi, G.P., Montresor, A., van Steen, M.: Secure Peer Sampling. Computer Networks (2010) (to appear)

    Google Scholar 

  19. Singh, A., Ngan, T.W., Druschel, P., Wallach, D.S.: Eclipse Attacks on Overlay Networks: Threats and Defenses. In: Proceedings of the 25th IEEE International Conference on Computer Communications, INFOCOM (2006)

    Google Scholar 

  20. Liu, D., Ning, P., Du, W.: Detecting Malicious Beacon Nodes for Secure Location Discovery in Wireless Sensor Networks. In: Proceedings of the 25th IEEE International Conference on Distributed Computing Systems, ICDCS (2005)

    Google Scholar 

  21. Douceur, J., Donath, J.S.: The Sybil Attack. In: Druschel, P., Kaashoek, M.F., Rowstron, A. (eds.) IPTPS 2002. LNCS, vol. 2429, pp. 251–260. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  22. Awerbuch, B., Scheideler, C.: Towards a Scalable and Robust Overlay Network. In: Proceedings of the 6th International Workshop on Peer-to-Peer Systems, IPTPS (2007)

    Google Scholar 

  23. Anceaume, E., Brasileiro, F.V., Ludinard, R., Sericola, B., Tronel, F.: Analytical Study of Adversarial Strategies in Cluster-based Overlays. In: Proceedings of the International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), pp. 293–298 (2009)

    Google Scholar 

  24. Castro, M., Druschel, P., Ganesh, A., Rowstron, A., Wallach, D.S.: Secure Routing for Structured Peer-to-peer Overlay Networks. In: Proceedings of the 5th Symposium on Operating Systems Design and Implementation (OSDI), pp. 299–314. ACM, New York (2002)

    Chapter  Google Scholar 

  25. Hildrum, K., Kubiatowicz, J.: Asymptotically Efficient Approaches to Fault-tolerance in Peer-to-Peer Networks. In: Fich, F.E. (ed.) DISC 2003. LNCS, vol. 2848, pp. 321–336. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  26. Fiat, A., Saia, J., Young, M.: Making Chord Robust to Byzantine Attacks. In: Brodal, G.S., Leonardi, S. (eds.) ESA 2005. LNCS, vol. 3669, pp. 803–814. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  27. Anceaume, E., Brasileiro, F., Ludinard, R., Ravoaja, A.: PeerCube: an Hypercube-based P2P Overlay Robust against Collusion and Churn. In: Proceedings of the IEEE International Conference on Self-Adaptive and Self-Organizing Systems, pp. 15–24 (2008)

    Google Scholar 

  28. Condie, T., Kacholia, V., Sank, S., Hellerstein, J.M., Maniatis, P.: Induced Churn as Shelter from Routing-Table Poisoning. In: Proceedings of the International Network and Distributed System Security Symposium, NDSS (2006)

    Google Scholar 

  29. Yu, H., Kaminsky, M., Gibbons, P.B., Flaxman, A.: SybilGuard: Defending against Sybil Attacks via Social Networks. In: Proceedings of the ACM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications (SIGCOMM), pp. 267–278 (2006)

    Google Scholar 

  30. Yu, H., Gibbons, P.B., Kaminsky, M., Xiao, F.: SybilLimit: A Near-Optimal Social Network Defense against Sybil Attacks. In: Proceedings of the IEEE Symposium on Security and Privacy (SP), pp. 3–17 (2008)

    Google Scholar 

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Anceaume, E., Busnel, Y., Gambs, S. (2010). Uniform and Ergodic Sampling in Unstructured Peer-to-Peer Systems with Malicious Nodes. In: Lu, C., Masuzawa, T., Mosbah, M. (eds) Principles of Distributed Systems. OPODIS 2010. Lecture Notes in Computer Science, vol 6490. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17653-1_5

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  • DOI: https://doi.org/10.1007/978-3-642-17653-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17652-4

  • Online ISBN: 978-3-642-17653-1

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