Detecting peering infrastructure outages in the wild
- Submitting institution
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The University of Lancaster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 223913367
- Type
- E - Conference contribution
- DOI
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10.1145/3098822.3098855
- Title of conference / published proceedings
- SIGCOMM 2017 - Proceedings of the 2017 Conference of the ACM Special Interest Group on Data Communication
- First page
- 446
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- August
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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5
- Research group(s)
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I - Security
- Citation count
- 18
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper, co-authored with Akamai and published in ACM SIGCOMM introduces a system for the automatic detection of critical Internet infrastructure failures with unprecedented accuracy and timeliness, addressing a long-standing gap in network monitoring and risk mitigation. It received immediate attention from industry; invited speaker at major N.American (NANOG) and European (RIPE, Euro-IX, ENOG) conferences and winning a RIPE collaboration award. The system has been licensed and is actively deployed by major network operators (AWS, Microsoft Azure, DE-CIX) and used by academia, e.g. H2020 Endeavour project. The US Department of Homeland Security (DHS) has funded a follow-up research project ($324k).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
