Anonymous Traceback for End-to-End Encryption

Document Type

Conference Proceeding

Publication Date

1-1-2022

Abstract

As secure messaging services become ubiquitous, the need for moderation tools that can function within these systems without defeating their purpose becomes more and more pressing. There are several solutions to deal with moderation on a local level, handling harassment and personal-scale issues, but handling wider-scale issues like disinformation campaigns narrows the field; traceback systems are designed for this, but most are incompatible with anonymity. In this paper, we present Anonymous Traceback, a traceback system capable of functioning within anonymous secure messaging systems. We carefully model security properties, provide two provably secure and simple constructions, with the most practical construction able to preserve anonymity for all but the original source of a reported abusive message. Our implementation shows integration to messaging systems such as Signal is feasible, with client-side overhead smaller than Signals’ sealed sender system, and low overhead overall.

Identifier

85140723814 (Scopus)

ISBN

[9783031171451]

Publication Title

Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

External Full Text Location

https://doi.org/10.1007/978-3-031-17146-8_3

e-ISSN

16113349

ISSN

03029743

First Page

42

Last Page

62

Volume

13555 LNCS

Grant

1801491

Fund Ref

Ethereum Foundation

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