TY - JOUR
T1 - Combating Abusive Information in Encrypted Messaging Services
T2 - A Secure and Efficient Realization
AU - Lian, Rui
AU - Zheng, Yifeng
AU - Ming, Yulong
AU - Cai, Chengjun
AU - Wang, Cong
AU - Jia, Xiaohua
N1 - Publisher Copyright:
© 2008-2012 IEEE.
PY - 2025
Y1 - 2025
N2 - End-to-end encrypted messaging services (EEMSs) empower private communication through encrypting messages, yet also make content moderation for combating the spread of abusive messages challenging. There is an urgent call for supporting content moderation in EEMSs while ensuring user privacy. In this paper, we present a new system design for privacy-assured content moderation in EEMSs. At a high level, users in our system can privately report abusive messages, and the EEMS traces the source if a message has an aggregated report count exceeding a predefined threshold and is audited to be abusive. Our system mainly departs from prior works in that it allows flexible and adaptable thresholds, offers robustness against dishonest reporters providing malformed reports, and better ensures the privacy of all users during the moderation process. We also take a step further and propose a privacy-aware detection mechanism that relies on a blocklist built with transparency to mitigate the further spread of identified abusive messages from forwarders. Formal security analysis is provided and extensive experiments demonstrate the practical efficiency of our system.
AB - End-to-end encrypted messaging services (EEMSs) empower private communication through encrypting messages, yet also make content moderation for combating the spread of abusive messages challenging. There is an urgent call for supporting content moderation in EEMSs while ensuring user privacy. In this paper, we present a new system design for privacy-assured content moderation in EEMSs. At a high level, users in our system can privately report abusive messages, and the EEMS traces the source if a message has an aggregated report count exceeding a predefined threshold and is audited to be abusive. Our system mainly departs from prior works in that it allows flexible and adaptable thresholds, offers robustness against dishonest reporters providing malformed reports, and better ensures the privacy of all users during the moderation process. We also take a step further and propose a privacy-aware detection mechanism that relies on a blocklist built with transparency to mitigate the further spread of identified abusive messages from forwarders. Formal security analysis is provided and extensive experiments demonstrate the practical efficiency of our system.
KW - Content moderation
KW - end-to-end encryption
KW - threshold aggregation
UR - https://www.scopus.com/pages/publications/105018345562
U2 - 10.1109/TSC.2025.3616516
DO - 10.1109/TSC.2025.3616516
M3 - 文章
AN - SCOPUS:105018345562
SN - 1939-1374
VL - 18
SP - 3581
EP - 3594
JO - IEEE Transactions on Services Computing
JF - IEEE Transactions on Services Computing
IS - 6
ER -