REVIEW 2 cited by
Analysis and Improvements of the Sender Keys Protocol for Group Messaging
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
Messaging between two parties and in the group setting has enjoyed widespread attention both in practice, and, more recently, from the cryptographic community. One of the main challenges in the area is constructing secure (end-to-end encrypted) and efficient messaging protocols for group conversations. The popular messaging applications WhatsApp and Signal utilise a protocol in which, instead of sharing a single group key, members have individual \textit{sender keys}, which are shared with all other group members. The Sender Keys protocol is claimed to offer forward security guarantees. However, despite its broad adoption in practice, it has never been studied formally in the cryptographic literature. In this paper we present the first analysis of the Sender Keys protocol along with some prospective improvements. To this end, we introduce a new cryptographic primitive, develop a game-based security model, present a security analysis in the passive and active settings, and propose several improvements to the protocol.
Forward citations
Cited by 2 Pith papers
-
Send and Pretend: Exploiting Transcript Consistency Issues in End-to-End Encrypted Group Chats
All four major E2EE messengers fail to provide transcript consistency in group chats: a malicious member can silently equivocate, drop, or reorder messages and rig polls without triggering warnings.
-
KoopAGRU: A Koopman-based Anomaly Detection in Time-Series using Gated Recurrent Units
KoopAGRU, a GRU-based Koopman model with FFT time-variant/invariant decomposition, reports an average F1 of 90.88% on five anomaly detection benchmarks, exceeding cited baselines.
Discussion (0). Continue with ORCID to comment.