Nemesis : Combating Abusive Information in Encrypted Messaging with Private Reporting

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationComputer Security – ESORICS 2024 - 29th European Symposium on Research in Computer Security, Proceedings
EditorsJoaquin Garcia-Alfaro, Rafał Kozik, Michał Choraś, Sokratis Katsikas
PublisherSpringer, Cham
Pages247-267
VolumePart II
ISBN (electronic)9783031708909
ISBN (print)9783031708893
Publication statusPublished - 2024

Publication series

NameLecture Notes in Computer Science
Volume14983
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

Conference

Title29th European Symposium on Research in Computer Security (ESORICS 2024)
LocationBydgoszcz University of Science and Technology
PlacePoland
CityBydgoszcz
Period16 - 20 September 2024

Abstract

Abusive messages spread rapidly within popular end-to-end encrypted messaging services (EEMSs) due to the inability to conduct content moderation on plaintext messages. This issue has turned EEMSs into breeding grounds for fake news, misinformation, and other viral abusive content. However, enabling the identification of abusive information without careful consideration can compromise the cherished confidentiality feature of EEMSs. To address this issue, we propose Nemesis, a privacy-friendly, user-reporting-based content moderation system for EEMSs. In Nemesis, users can privately report abusive messages, and the system traces the source if the report count exceeds a predefined threshold. Compared to existing systems, Nemesis offers three key advantages: 1) it supports flexible and adaptable thresholds to meet different content moderation needs, 2) it prevents dishonest reporters from disrupting the system, and 3) it better ensures the privacy of all users during the moderation process. Nemesis utilizes lightweight cryptographic techniques to achieve these goals, and evaluation results demonstrate its low overhead in securely identifying abusive messages and tracing their sources in EEMSs. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Research Area(s)

  • Content moderation, End-to-end encryption, Threshold aggregation

Bibliographic Note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Citation Format(s)

Nemesis: Combating Abusive Information in Encrypted Messaging with Private Reporting. / Lian, Rui; Ming, Yulong; Cai, Chengjun et al.
Computer Security – ESORICS 2024 - 29th European Symposium on Research in Computer Security, Proceedings. ed. / Joaquin Garcia-Alfaro; Rafał Kozik; Michał Choraś; Sokratis Katsikas. Vol. Part II Springer, Cham, 2024. p. 247-267 (Lecture Notes in Computer Science; Vol. 14983).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review