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ProtectCall: Call protection based on user reputation

  • CNRS SAMOVAR UMR 5157

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionContribution à une conférenceRevue par des pairs

Résumé

Web calling services are exposed to numerous social security threats in which context of communication is manipulated. A attacker establishes a communication session to send numerous simultaneous pre-recorded advertisement calls (Robocalls), distribute malicious files or viruses and uses false identity to conduct phishing. User identification alone is not sufficient to provide a high level of trust between communicating participants. Therefore, we propose 'ProtectCall' a trust model that allows web calling services to estimate the trustworthiness and reputation of their users based on the evaluation of three parameters: authenticity, credibility and popularity. The main objective of ProtectCall is to protect web communication services from social security threats. ProtectCall allows users to make decisions based on the trustworthiness of their communicating participants.

langue originaleAnglais
titreProceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages660-667
Nombre de pages8
ISBN (Electronique)9781509049059
Les DOIs
étatPublié - 7 sept. 2017
Modification externeOui
Evénement16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017 - Sydney, Australie
Durée: 1 août 20174 août 2017

Série de publications

NomProceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017

Une conférence

Une conférence16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017
Pays/TerritoireAustralie
La villeSydney
période1/08/174/08/17

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