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N-Combat: A Nuisance Call Combating Framework for Internet Telephony

  • CNRS SAMOVAR UMR 5157

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

1 Citation (Scopus)

Résumé

Nuisance calls are not only irritating and annoying but also pose several security threats. Nuisance calls can be classified into live, recorded, scam and silent spam calls. Unlike traditional communication networks, users identities over the web cannot be asserted as they are created without any subscription contract or identification proof. To address this issue, we present N-Combat framework that effectively combats automated and manually generated nuisance calls over web communication services. In N-Combat the caller's reputation is computed using total call duration, out-degree, feedback received and the reliability of communicating participants. To address the dynamic behavior of callers, the concept of a dual time window is introduced. Furthermore, the framework uses a watchdog mechanism to combat whitewashing attacks that allows spammers to shed their bad reputation and reenter the network with a new identity.

langue originaleAnglais
titreProceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages112-117
Nombre de pages6
ISBN (imprimé)9781538643877
Les DOIs
étatPublié - 5 sept. 2018
Modification externeOui
Evénement17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018 - New York, États-Unis
Durée: 31 juil. 2018 → 3 août 2018

Série de publications

NomProceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018
ISSN (Electronique)2324-9013

Une conférence

Une conférence17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018
Pays/TerritoireÉtats-Unis
La villeNew York
période31/07/18 → 3/08/18

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