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Discouraging Abusive Behavior in Privacy-Preserving Online Social Networking Applications

Álvaro García-Recuero 1, 2, 3
1 TAMIS - Threat Analysis and Mitigation for Information Security
IRISA-D4 - LANGAGE ET GÉNIE LOGICIEL, Inria Rennes – Bretagne Atlantique
2 DECENTRALISE - DECENTRALISE
Inria Rennes – Bretagne Atlantique
Abstract : In this position paper we present the challenge of detecting abuse in a modern Online Social Network (OSN) while balancing data utility and privacy, with the goal of limiting the amount of user sensitive information processed during data collection, extraction and analysis. While we are working with public domain data available in a contemporary OSN, our goal is to design a thorough method for future alternative OSN designs that both protect user's sensitive information and discourage abuse. In this summary, we present initial results for detecting abusive behavior on Twitter. We plan to further investigate the impact of reducing input metadata on the quality of the abuse detection. In addition, we will consider defeating Byzantine behavior by opponents in the system.
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https://hal.inria.fr/hal-01272654
Contributor : Álvaro García-Recuero <>
Submitted on : Wednesday, April 13, 2016 - 4:08:57 PM
Last modification on : Thursday, January 7, 2021 - 4:16:35 PM
Long-term archiving on: : Tuesday, November 15, 2016 - 2:38:00 AM

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  • HAL Id : hal-01272654, version 2

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Álvaro García-Recuero. Discouraging Abusive Behavior in Privacy-Preserving Online Social Networking Applications. In 25th International World Wide Web Conference, Apr 2016, Montréal, Canada. ⟨hal-01272654v2⟩

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