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NREngine: A Graph-Based Query Engine for Network Reachability

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Database Systems for Advanced Applications. DASFAA 2021 International Workshops (DASFAA 2021)

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Abstract

A quick and intuitive understanding of network reachability is of great significance for network optimization and network security management. In this paper, we propose a query engine called NREngine for network reachability when considering the network security policies. NREngine constructs a knowledge graph based on the network security policies and designs an algorithm over the graph for the network reachability. Furthermore, for supporting a user-friendly interface, we also propose a structural query language named NRQL in NREngine for the network reachability query. The experimental results show that NREngine can efficiently support a variety of network reachability query services.

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References

  1. Xie, G.G., Zhan, J., Maltz, D.A., Zhang, H., Greenberg, A.: On static reachability analysis of IP networks. In: IEEE INFOCOM, pp. 2170–2183 (2005)

    Google Scholar 

  2. Zou, L., Mo, J., Chen, L.: gStore: answering SPARQL queries via subgraph matching. VLDB Endow. 4(8), 482–493 (2011)

    Article  Google Scholar 

  3. Zou, L., Özsu, M.T., Chen, L., Shen, X., Huang, R., Zhao, D.: gStore: a graph-based SPARQL query engine. VLDB J. 23(4), 565–590 (2014)

    Article  Google Scholar 

  4. McBride, B.: Jena: implementing the RDF model and syntax specification. In: SemWeb (2001)

    Google Scholar 

  5. Broekstra, J., Kampman, A., van Harmelen, F.: Sesame: a generic architecture for storing and querying RDF and RDF schema. In: Horrocks, I., Hendler, J. (eds.) ISWC 2002. LNCS, vol. 2342, pp. 54–68. Springer, Heidelberg (2002). https://doi.org/10.1007/3-540-48005-6_7

    Chapter  Google Scholar 

  6. Erling, O., Mikhailov, I.: Virtuoso: RDF support in a native RDBMS. In: de Virgilio, R., Giunchiglia, F., Tanca, L. (eds.) Semantic Web Information Management, pp. 501–519. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-04329-1_21

    Chapter  Google Scholar 

  7. Zhang, B., Eugene, T.S., Wang, N.G.: Reachability monitoring and verification in enterprise networks. In: ACM SIGCOMM, pp. 459–460 (2008)

    Google Scholar 

  8. Benson, T., Akella, A., Maltz, D.A.: Mining policies from enterprise network configuration. In: The 9th ACM SIGCOMM Conference on Internet Measurement Conference, pp. 136–142 (2009)

    Google Scholar 

  9. Khakpour, A.R., Liu, A.X.: Quantifying and querying network reachability. In: the 29th International Conference on Distributed Computing Systems (ICDCS), pp. 817–826 (2010)

    Google Scholar 

  10. Khakpour, A.R., Liu, A.X.: Quantifying and verifying reachability for access controlled networks. IEEE/ACM Trans. Netw. (TON) 21(2), 551–565 (2013)

    Article  Google Scholar 

  11. Chen, F., Bezawada, B., Liu, A.X.: Privacy-preserving quantification of cross-domain network reachability. IEEE/ACM Trans. Netw. (TON) 23(3), 946–958 (2015)

    Article  Google Scholar 

  12. Hong, S.C., Ju, H., Hong, J.W.K.: Network reachability-based IP prefix hijacking detection. Int. J. Netw. Manag. 23(1), 1–15 (2013)

    Article  Google Scholar 

  13. Liang, R., Zhuge, H., Jiang, X., Zeng, Q., He, X.: Scaling hop-based reachability indexing for fast graph pattern query processing. IEEE Trans. Knowl. Data Eng. (TKDE) 26(11), 2803–2817 (2014)

    Article  Google Scholar 

  14. Rao, Z.C., Pu, T.Y.: Decision diagram-based modeling of network reachability. Appl. Mech. Mater. 513, 1779–1782 (2014)

    Article  Google Scholar 

  15. Li, Y., Luo, Y., Wei, Z., Xia, C., Liang, X.: A verification method of enterprise network reachability based on topology path. In: The 2013 Ninth International Conference on Computational Intelligence and Security, pp. 624–629 (2013)

    Google Scholar 

  16. Cuzzocrea, A., Serafino, P.: A reachability-based theoretical framework for modeling and querying complex probabilistic graph data. In: IEEE International Conference on Systems, pp. 1177–1184 (2012)

    Google Scholar 

  17. Jamil, H.: A novel knowledge representation framework for computing sub-graph isomorphic queries in interaction network databases. In: 2009 21st IEEE International Conference on Tools with Artificial Intelligence, pp. 131–138 (2009)

    Google Scholar 

  18. Li, W., Qin, Z., Li, K., Yin, H., Lu, O.: A novel approach to rule placement in software-defined networks based on OPTree. IEEE Access 7(1), 8689–8700 (2019)

    Article  Google Scholar 

  19. Arenas, M., Gutiérrez, C., Pérez, J.: On the semantics of SPARQL. In: de Virgilio, R., Giunchiglia, F., Tanca, L. (eds.) Semantic Web Information Management, pp. 281–307. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-04329-1_13

    Chapter  Google Scholar 

  20. Taylor, D.E., Turner, J.S.: Classbench: a packet classification benchmark. IEEE/ACM Trans. Netw. 15(3), 499–511 (2007)

    Article  Google Scholar 

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Acknowledgements

This work is partially supported by The National Key Research and Development Program of China under grant 2018YFB1003504, the National Natural Science Foundation of China under Grant (No. U20A20174, 61772191), Science and Technology Key Projects of Hunan Province (2019WK2072, 2018TP3001, 2018TP2023, 2015TP1004), and ChangSha Science and Technology Project (kq2006029).

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Correspondence to Lei Zou .

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Li, W., Zou, L., Peng, P., Qin, Z. (2021). NREngine: A Graph-Based Query Engine for Network Reachability. In: Jensen, C.S., et al. Database Systems for Advanced Applications. DASFAA 2021 International Workshops. DASFAA 2021. Lecture Notes in Computer Science(), vol 12680. Springer, Cham. https://doi.org/10.1007/978-3-030-73216-5_7

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  • DOI: https://doi.org/10.1007/978-3-030-73216-5_7

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  • Online ISBN: 978-3-030-73216-5

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