e-Infrastructure and e-Services for Developing Countries. 9th International Conference, AFRICOMM 2017, Lagos, Nigeria, December 11-12, 2017, Proceedings

Research Article

Reputation Rating Algorithm for BGP Links

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  • @INPROCEEDINGS{10.1007/978-3-319-98827-6_33,
        author={Hospice Arouna and Lionel Metongnon and Marc Lobelle},
        title={Reputation Rating Algorithm for BGP Links},
        proceedings={e-Infrastructure and e-Services for Developing Countries. 9th International Conference, AFRICOMM 2017, Lagos, Nigeria, December 11-12, 2017, Proceedings},
        proceedings_a={AFRICOMM},
        year={2018},
        month={8},
        keywords={BGP Algorithm Link Reputation Visualization},
        doi={10.1007/978-3-319-98827-6_33}
    }
    
  • Hospice Arouna
    Lionel Metongnon
    Marc Lobelle
    Year: 2018
    Reputation Rating Algorithm for BGP Links
    AFRICOMM
    Springer
    DOI: 10.1007/978-3-319-98827-6_33
Hospice Arouna1,*, Lionel Metongnon,*, Marc Lobelle2,*
  • 1: Université d’Abomey-Calavi
  • 2: Université Catholique de Louvain
*Contact email: hospice.arouna@uac.bj, lionel.metongnon@uclouvain.be, marc.lobelle@uclouvain.be

Abstract

BGP is a dynamic protocol used by Autonomous Systems (AS) constituting the Internet to exchange information in order to set up or remove links between AS. It takes into account the status of existing links and the internal policy of the AS. New links can be either legitimate or malicious. Having an objective way to detect route-leaks and/or route-hijacks could be a good starting point for deciding to accept or reject newly advertised links. In this work, an algorithm has been developed to evaluate link reputation on the basis of metrics. The work proceeded in three steps: first, BGPStream is used to overcome difficulties related to the collection of BGP record files from various collectors and projects. In the analysis phase (second phase), the algorithm is applied on collected data. The final phase is to visualize the results with a modified version of BGPlayJs to display the links reputation by coloring them from green to red. This algorithm could be used for baseline leak/hijack detection.