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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Using Bursty Announcements for Detecting BGP Routing Anomalies

Research datakeyboard_double_arrow_right Dataset 14 Feb 2020Publisher:Zenodo
Authors: Pablo Moriano; Raquel Hill; L. Jean Camp;

doi: 10.5281/zenodo.3667718 , 10.5281/zenodo.3667719

Using Bursty Announcements for Detecting BGP Routing Anomalies

Abstract

This dataset contains all the require data to reproduce the Indonesia incident. This is provided to facilitate reproducibility of results presented in the following paper: Pablo Moriano, Raquel Hill, and L. Jean Camp. "Using bursty announcements for detecting BGP routing anomalies." vol. 188, 107835, 2021. DOI: https://doi.org/10.1016/j.comnet.2021.107835 These data are provided for non-commercial purposes only. If you use this dataset for research, please be sure to cite the above paper.

This research has been supported in part by internal organizational funds at Oak Ridge National Laboratory 3X012DCS, NSF CNS 1565375, and Cisco Research 591000.

Related Organizations
Keywords

Border gateway protocol (BGP), Internet measurements, prefix hijacking, time series analysis, anomaly detection, burstiness

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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