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Leveraging Inter-domain Stability for BGP Dynamics Analysis

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Passive and Active Measurement (PAM 2018)

Abstract

In the Internet, Autonomous Systems continuously exchange routing information via the BGP protocol: the large number of networks involved and the verbosity of BGP result in a huge stream of updates. Making sense of all those messages remains a challenge today. In this paper, we leverage the notion of “primary path” (i.e., the most used inter-domain path of a BGP router toward a destination prefix for a given time period), reinterpreting updates by grouping them in terms of primary paths unavailability periods, and illustrate how BGP dynamics analysis would benefit from working with primary paths.

Our contributions are as follows. First, through measurements, we validate the existence of primary paths: by analyzing BGP updates announced at the LINX RIS route collector spanning a three months period, we show that primary paths are consistently in use during the observation period. Second, we quantify the benefits of primary paths for BGP dynamics analysis on two use cases: Internet tomography and anomaly detection. For the latter, using three months of anomalous BGP events documented by BGPmon as reference, we show that primary paths could be used for detecting such events (hijacks and outages), testifying of the increased semantic they provide.

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Notes

  1. 1.

    We are aware that this prefix was used in Czyz et al. [11]. We believe that the events are unrelated because they do not match either the involved parties, the time window, or the methodology described.

References

  1. Al-Rousan, N.M., Trajković, L.: Machine learning models for classification of BGP anomalies. In: Proceedings of IEEE HPSR (2012)

    Google Scholar 

  2. Bahaa, A.M., Philip, B., Grenville, A.: BGP anomaly detection techniques: a survey. IEEE Commun. Surv. Tutor. 19, 377–396 (2016)

    Google Scholar 

  3. Bates, T., Smith, P., Huston, G.: CIDR Report. http://www.cidr-report.org/as2.0/. Accessed 2018

  4. BGPmon.net: Public event reporting. https://bgpstream.com. Accessed 2018

  5. Butler, K., McDaniel, P., Aiello, W.: Optimizing BGP security by exploiting path stability. In: Proceedings of ACM CCS (2006)

    Google Scholar 

  6. Caesar, M., Subramanian, L., Katz, R.H.: Root cause analysis of BGP dynamics. In: Proceedings of ACM IMC (2003)

    Google Scholar 

  7. Chang, D.F., Govindan, R., Heidemann, J.: The temporal and topological characteristics of BGP path changes. In: Proceedings of IEEE ICNP (2003)

    Google Scholar 

  8. Chen, M., Xu, M., Li, Q., Song, X., Yang, Y.: Detect and analyze large-scale BGP events by bi-clustering update visibility matrix. In: Proceedings of IEEE IPCCC (2015)

    Google Scholar 

  9. Comarela, G., Crovella, M.: Identifying and analyzing high impact routing events with PathMiner. In: Proceedings of ACM IMC (2014)

    Google Scholar 

  10. Craig, L., Robert, M.G., Jahanian, F.: Origins of internet routing instability. In: Proceedings of INFOCOMM (1999)

    Google Scholar 

  11. Czyz, J., Lady, K., Miller, S.G., Bailey, M., Kallitsis, M., Karir, M.: Understanding IPv6 internet background radiation. In: Proceedings of ACM IMC (2013)

    Google Scholar 

  12. Deshpande, S., Thottan, M., Ho, T.K., Sikda, B.: An online mechanism for BGP instability detection and analysis. IEEE Trans. Comput. 58, 1470–1484 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  13. Elmokashfi, A., Kvalbein, A., Dovrolis, C.: BGP churn evolution: a perspective from the core. IEEE Trans. Netw. 20, 571–584 (2011)

    Article  Google Scholar 

  14. Feldmann, A., Maennel, O., Mao, Z.M., Berger, A., Maggs, B.: Locating internet routing instabilities. ACM SIGCOMM Comput. Commun. Rev. 34, 205–218 (2004)

    Article  Google Scholar 

  15. Haeberlen, A., Avramopoulos, I., Rexford, J., Druschel, P.: NetReview: detecting when interdomain routing goes wrong. In: Proceedings of NSDI (2009)

    Google Scholar 

  16. Holterbach, T., Vissicchio, S., Dainotti, A., Vanbever, L.: SWIFT: predictive fast reroute. In: ACM SIGCOMM (2017)

    Google Scholar 

  17. Javed, U., Cunha, I., Choffnes, D., Katz-Bassett, E., Anderson, T., Krishnamurthy, A.: PoiRoot: investigating the root cause of interdomain path changes. In: ACM SIGCOMM (2013)

    Google Scholar 

  18. Karlin, J., Forrest, S., Rexford, J.: Pretty good BGP: improving BGP by cautiously adopting routes. In: Proceedings of IEEE ICNP (2006)

    Google Scholar 

  19. Labovitz, C., Malan, G.R., Jahanian, F.: Internet routing instability. In: Proceedings of ACM SIGCOMM (1997)

    Google Scholar 

  20. Li, J., Guidero, M., Wu, Z., Purpus, E., Ehrenkranz, T.: BGP routing dynamics revisited. ACM SIGCOMM Comput. Commun. Rev. 37, 5–16 (2007)

    Article  Google Scholar 

  21. Lutu, A., Bagnulo, M., Pelsser, C., Maennel, O., Cid-Sueiro, J.: The BGP visibility toolkit: detecting anomalous Internet routing behavior. Proc. IEEE/ACM Trans. Netw. 24, 1237–1250 (2016)

    Article  Google Scholar 

  22. Mai, J., Yuan, L., Chuah, C.N.: Detecting BGP anomalies with wavelet. In: Proceedings of IEEE NOM (2008)

    Google Scholar 

  23. Oliveira, R., Zhang, B., Pei, D., Izhak-Ratzin, R., Zhang, L.: Quantifying path exploration in the internet. In: Proceedings of ACM IMC (2006)

    Google Scholar 

  24. Orsini, C., King, A., Giordano, D., Giotsas, V., Dainotti, A.: BGPStream: A Software framework for live and historical BGP data analysis. In: Proceedings of ACM IMC (2016)

    Google Scholar 

  25. Papadopoulos, S., Moustakas, K., Drosou, A., Tzovaras, D.: Border gateway protocol graph: detecting and visualising Internet routing anomalies. IET Inf. Secur. 10, 125–133 (2016)

    Article  Google Scholar 

  26. Paxson, V.: End-to-end routing behavior in the Internet. ACM SIGCOMM Comput. Commun. Rev. 36, 41–56 (1996)

    Article  Google Scholar 

  27. Prakash, B.A., Valler, N., Andersen, D., Faloutsos, M., Faloutsos, C.: BGP-lens: patterns and anomalies in internet routing updates. In: Proceedings of ACM SIGKDD (2009)

    Google Scholar 

  28. Qiu, J., Gao, L., Ranjan, S., Nucci, A.: Detecting bogus BGP route information: going beyond prefix hijacking. In: Proceedings of EAI SecureComm (2007)

    Google Scholar 

  29. Rekhter, Y., Li, T.: A Border Gateway Protocol 4 (BGP-4). RFC4271 (2006)

    Google Scholar 

  30. Rexford, J., Wang, J., Xiao, Z., Zhang, Y.: BGP routing stability of popular destinations. In: Proceedings of ACM SIGCOMM Workshop on Internet measurement (2002)

    Google Scholar 

  31. RIPE-NCC: Routing information service. https://www.ripe.net/ris. Accessed 2018

  32. Theodoridis, G., Tsigkas, O., Tzovaras, D.: A novel unsupervised method for securing BGP against routing hijacks. Comput. Inf. Sci. III, 21–29 (2013)

    Google Scholar 

  33. de Urbina Cazenave, I.O., Köşlük, E., Ganiz, M.C.: An anomaly detection framework for BGP. In: Proceedings of INISTA (2011)

    Google Scholar 

  34. Villamizar, C., Chandra, R., Govindan, R.: BGP Route Flap Damping. RFC2439 (1998)

    Google Scholar 

  35. Walton, D., Retana, A., Chen, E., Scudder, J.: Advertisment of multiple Paths in BGP. RFC 7911 (2016)

    Google Scholar 

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Acknowledgments

We thank the anonymous reviewers whose valuable comments helped us improving the quality of this paper.

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Correspondence to Thomas Green , Anthony Lambert , Cristel Pelsser or Dario Rossi .

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Green, T., Lambert, A., Pelsser, C., Rossi, D. (2018). Leveraging Inter-domain Stability for BGP Dynamics Analysis. In: Beverly, R., Smaragdakis, G., Feldmann, A. (eds) Passive and Active Measurement. PAM 2018. Lecture Notes in Computer Science(), vol 10771. Springer, Cham. https://doi.org/10.1007/978-3-319-76481-8_15

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  • DOI: https://doi.org/10.1007/978-3-319-76481-8_15

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