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CommunityWatch: The Swiss-Army Knife of BGP Anomaly Detection

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

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CommunityWatch: The Swiss-Army Knife of BGP Anomaly Detection. / Giotsas, Vasileios.

ANRW '18 Proceedings of the Applied Networking Research Workshop. New York : ACM, 2018. p. 24.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Giotsas, V 2018, CommunityWatch: The Swiss-Army Knife of BGP Anomaly Detection. in ANRW '18 Proceedings of the Applied Networking Research Workshop. ACM, New York, pp. 24, Applied Network Research Conference, Montreal, Canada, 16/07/18. https://doi.org/10.1145/3232755.3232858

APA

Giotsas, V. (2018). CommunityWatch: The Swiss-Army Knife of BGP Anomaly Detection. In ANRW '18 Proceedings of the Applied Networking Research Workshop (pp. 24). ACM. https://doi.org/10.1145/3232755.3232858

Vancouver

Giotsas V. CommunityWatch: The Swiss-Army Knife of BGP Anomaly Detection. In ANRW '18 Proceedings of the Applied Networking Research Workshop. New York: ACM. 2018. p. 24 https://doi.org/10.1145/3232755.3232858

Author

Giotsas, Vasileios. / CommunityWatch: The Swiss-Army Knife of BGP Anomaly Detection. ANRW '18 Proceedings of the Applied Networking Research Workshop. New York : ACM, 2018. pp. 24

Bibtex

@inproceedings{db970f980cfb43aeb25d5454a36822f8,
title = "CommunityWatch: The Swiss-Army Knife of BGP Anomaly Detection",
abstract = "We present CommunityWatch, an open-source system that enables timely and accurate detection of BGP routing anomalies. CommunityWatch leverages meta-data encoded by AS operators on their advertised routes through the BGP Communities attribute. The BGP Communities values lack standardized semantics, offering the flexibility to attach a wide range of information, including AS relationships, location data, and route redistribution policies. Therefore, parsing and correlating Community values and their dynamics enables the detection and tracking of a variety of routing anomalies. We exhibit the efficacy of CommunityWatch through the detection of three different types of anomalies: infrastructure outages, route leaks, and traffic blackholing.",
author = "Vasileios Giotsas",
year = "2018",
month = jul
day = "16",
doi = "10.1145/3232755.3232858",
language = "English",
isbn = "9781450355858",
pages = "24",
booktitle = "ANRW '18 Proceedings of the Applied Networking Research Workshop",
publisher = "ACM",
note = "Applied Network Research Conference, ANRW ; Conference date: 16-07-2018",
url = "https://irtf.org/anrw/2018/",

}

RIS

TY - GEN

T1 - CommunityWatch: The Swiss-Army Knife of BGP Anomaly Detection

AU - Giotsas, Vasileios

PY - 2018/7/16

Y1 - 2018/7/16

N2 - We present CommunityWatch, an open-source system that enables timely and accurate detection of BGP routing anomalies. CommunityWatch leverages meta-data encoded by AS operators on their advertised routes through the BGP Communities attribute. The BGP Communities values lack standardized semantics, offering the flexibility to attach a wide range of information, including AS relationships, location data, and route redistribution policies. Therefore, parsing and correlating Community values and their dynamics enables the detection and tracking of a variety of routing anomalies. We exhibit the efficacy of CommunityWatch through the detection of three different types of anomalies: infrastructure outages, route leaks, and traffic blackholing.

AB - We present CommunityWatch, an open-source system that enables timely and accurate detection of BGP routing anomalies. CommunityWatch leverages meta-data encoded by AS operators on their advertised routes through the BGP Communities attribute. The BGP Communities values lack standardized semantics, offering the flexibility to attach a wide range of information, including AS relationships, location data, and route redistribution policies. Therefore, parsing and correlating Community values and their dynamics enables the detection and tracking of a variety of routing anomalies. We exhibit the efficacy of CommunityWatch through the detection of three different types of anomalies: infrastructure outages, route leaks, and traffic blackholing.

U2 - 10.1145/3232755.3232858

DO - 10.1145/3232755.3232858

M3 - Conference contribution/Paper

SN - 9781450355858

SP - 24

BT - ANRW '18 Proceedings of the Applied Networking Research Workshop

PB - ACM

CY - New York

T2 - Applied Network Research Conference

Y2 - 16 July 2018

ER -