Dr Matthew Luckie

Associate Professor (Computer Science)

Qualifications: BMS(Hons) PhD Waikato

Contact Details

Room: G.1.30
Phone: +64 7 838 4299
Extension: 4299

Research Interests

  • Collecting and analysing router and AS-level Internet topology data, especially (1) economic relationships between ASes, (2) inferring the router-level topology, and (3) development of distributable software for collecting IP-level data.
  • Internet topology, routing, and performance in IPv6, particulary the interactions with middleboxes and future evolution.
  • Troubleshooting of IP networks, particulary TCP performance issues.

Teaching Commitments

Recent Publications

  • Luckie, M., Beverly, R., Koga, R., Keys, K., Kroll, J. A., & claffy, K. (2019). Network hygiene, incentives, and regulation: deployment of source address validation in the Internet. In Proc 2019 ACM SIGSAC Conference on Computer and Communications Security (CCS '19) (pp. 465-480). London, UK: ACM Press. doi:10.1145/3319535.3354232 Open Access version:

  • Müller, L., Luckie, M., Huffaker, B., Claffy, K., & Barcellos, M. (2019). Challenges in inferring spoofed traffic at IXPs. In Proc 15th International Conference on Emerging Networking Experiments And Technologies (CoNEXT '19) (pp. 96-109). Orlando, Florida: ACM Press. doi:10.1145/3359989.3365422

  • Sanger, R., Luckie, M., & Nelson, R. (2019). Identifying equivalent SDN forwarding behaviour. In Proc 2019 ACM Symposium on SDN Research (SOSR '19) (pp. 127-139). New York, NY: ACM. doi:10.1145/3314148.3314347 Open Access version:

  • Luckie, M., Huffaker, B., & claffy, K. (2019). Learning regexes to extract router names from hostnames. In Proc ACM 2019 Internet Measurement Conference (IMC'19) (pp. 337-350). Amsterdam, Netherlands: ACM Press. doi:10.1145/3355369.3355589 Open Access version:

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