[Resource Topic] 2023/534: Group Oblivious Message Retrieval

Welcome to the resource topic for 2023/534

Group Oblivious Message Retrieval

Authors: Zeyu Liu, Eran Tromer, Yunhao Wang


Anonymous message delivery, as in private communication and privacy-preserving blockchain applications, ought to protect recipient metadata:
a message should not be inadvertently linkable to its destination.
But in this case, how can messages be delivered to each recipient, without every recipient scanning all the messages?
Recent work constructed Oblivious Message Retrieval (OMR) protocols that outsource this job to untrusted servers in a privacy-preserving manner.

We consider the case of group messaging, where each message may have multiple recipients (e.g., in a group chat or blockchain transaction). A direct use of prior OMR protocols in the group setting increases the servers’ work linearly in the group size, rendering it prohibitively costly for large groups.

We thus devise new protocols where the servers’ cost grows very slowly with the group size, while recipients’ cost is low and independent of the group size.
Our approach uses Fully Homomorphic Encryption and other lattice-based techniques, building on and improving on prior work. The efficient handling of groups is attained by encoding multiple recipient-specific clues into a single polynomial or multilinear function that can be efficiently evaluated under FHE, and via preprocessing and amortization techniques.

We formally study several variants of Group Oblivious Message Retrieval (GOMR), and describe corresponding GOMR protocols.

Our implementation and benchmarks show, for parameters of interest, cost reductions of orders of magnitude compared to prior schemes.
For example, the servers’ cost is $3.36 per million messages scanned, where each message may address up to 15 recipients.

ePrint: https://eprint.iacr.org/2023/534

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