Metadata Privacy Beyond Tunneling for Instant Messaging
Boel Nelson, Elena Pagnin, Aslan Askarov

TL;DR
This paper introduces a new approach to metadata privacy in instant messaging by enabling deniable traffic, using formal models and extending existing protocols like Signal to support low-latency, deniable communication.
Contribution
It presents a formal framework for metadata privacy with deniable traffic and extends the Signal protocol to support deniable instant messaging, bridging information flow control and anonymous communication.
Findings
Deniable traffic achieves metadata privacy against strong adversaries.
The DenIM protocol extends Signal to support deniable instant messaging.
The proof-of-concept maintains low latency and feature compatibility.
Abstract
Transport layer data leaks metadata unintentionally -- such as who communicates with whom. While tools for strong transport layer privacy exist, they have adoption obstacles, including performance overheads incompatible with mobile devices. We posit that by changing the objective of metadata privacy for , we can open up a new design space for pragmatic approaches to transport layer privacy. As a first step in this direction, we propose using techniques from information flow control and present a principled approach to constructing formal models of systems with metadata privacy for , deniable, traffic. We prove that deniable traffic achieves metadata privacy against strong adversaries -- this constitutes the first bridging of information flow control and anonymous communication to our knowledge. Additionally, we show that existing state-of-the-art…
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Taxonomy
TopicsInternet Traffic Analysis and Secure E-voting · Security and Verification in Computing · Privacy, Security, and Data Protection
