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This repository contains analysis and figure code for measuring the traffic observed on public cloud IPs and determining prevalence of potential latent configuration.

Building

This code was originally built using Docker (Dockerfile included). Updates to dependencies may be required for successful building.

Running

The ipreuse script is designed to run all analyses.

Citing

If you use this code, please cite our related papers:

@inproceedings{pauley_measuring_2022,
  title     = {Measuring and {Mitigating} the {Risk} of {IP} {Reuse} on {Public} {Clouds}},
  isbn      = {978-1-66541-316-9},
  url       = {https://www.computer.org/csdl/proceedings-article/sp/2022/131600b523/1CIO7rpcgSs},
  doi       = {10.1109/SP46214.2022.00094},
  language  = {English},
  booktitle = {2022 {IEEE} {Symposium} on {Security} and {Privacy} ({SP})},
  publisher = {IEEE Computer Society},
  author    = {Pauley, Eric and Sheatsley, Ryan and Hoak, Blaine and Burke, Quinn and Beugin, Yohan and McDaniel, Patrick},
  month     = apr,
  year      = {2022},
  note      = {ISSN: 2375-1207},
  pages     = {1523--1523}
}

@inproceedings{pauley_dscope_2023,
  address   = {Anaheim, CA},
  title     = {{DScope}: {A} {Cloud}-{Native} {Internet} {Telescope}},
  booktitle = {Proceedings of the 32nd {USENIX} {Security} {Symposium} ({USENIX} {Security} 2023, to appear)},
  publisher = {USENIX Association},
  author    = {Pauley, Eric and Barford, Paul and McDaniel, Patrick},
  month     = aug,
  year      = {2023}
}