Nemesis : Combating Abusive Information in Encrypted Messaging with Private Reporting
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | Computer Security – ESORICS 2024 - 29th European Symposium on Research in Computer Security, Proceedings |
Editors | Joaquin Garcia-Alfaro, Rafał Kozik, Michał Choraś, Sokratis Katsikas |
Publisher | Springer, Cham |
Pages | 247-267 |
Volume | Part II |
ISBN (electronic) | 9783031708909 |
ISBN (print) | 9783031708893 |
Publication status | Published - 2024 |
Publication series
Name | Lecture Notes in Computer Science |
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Volume | 14983 |
ISSN (Print) | 0302-9743 |
ISSN (electronic) | 1611-3349 |
Conference
Title | 29th European Symposium on Research in Computer Security (ESORICS 2024) |
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Location | Bydgoszcz University of Science and Technology |
Place | Poland |
City | Bydgoszcz |
Period | 16 - 20 September 2024 |
Link(s)
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).
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 Works › RGC 32 - Refereed conference paper (with host publication) › peer-review