Anomaly Detection and Mitigation at Internet Scale: A Survey - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2013

Anomaly Detection and Mitigation at Internet Scale: A Survey

Jessica Steinberger
  • Fonction : Auteur
  • PersonId : 1004082
Lisa Schehlmann
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  • PersonId : 1004083
Sebastian Abt
  • Fonction : Auteur
  • PersonId : 1004070
Harald Baier
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  • PersonId : 1004072

Résumé

Network-based attacks pose a strong threat to the Internet landscape. There are different possibilities to encounter these threats. On the one hand attack detection operated at the end-users’ side, on the other hand attack detection implemented at network operators’ infrastructures. An obvious benefit of the second approach is that it counteracts a network-based attack at its root. It is currently unclear to which extent countermeasures are set up at Internet scale and which anomaly detection and mitigation approaches of the community may be adopted by ISPs. We present results of a survey, which aims at gaining insight in industry processes, structures and capabilities of IT companies and the computer networks they run. One result with respect to attack detection is that flow-based detection mechanisms are valuable, because those mechanisms could easily adapt to existing infrastructures. Due to the lack of standardized exchange formats, mitigation across network borders is currently uncommon.
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hal-01489970 , version 1 (14-03-2017)

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Jessica Steinberger, Lisa Schehlmann, Sebastian Abt, Harald Baier. Anomaly Detection and Mitigation at Internet Scale: A Survey. 7th International Conference on Autonomous Infrastructure (AIMS), Jun 2013, Barcelona, Spain. pp.49-60, ⟨10.1007/978-3-642-38998-6_7⟩. ⟨hal-01489970⟩
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