Careful Whisper: Attestation for peer-to-peer Confidential Computing networks

Fuente: arXiv
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Main Authors: Kocaoğullar, Ceren, Petri, Gustavo, Mulligan, Dominic P., Miller, Derek, Vincent, Hugo J. M., Xiong, Shale, Beresford, Alastair R.
Format: Preprint
Published: 2025
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author Kocaoğullar, Ceren
Petri, Gustavo
Mulligan, Dominic P.
Miller, Derek
Vincent, Hugo J. M.
Xiong, Shale
Beresford, Alastair R.
author_facet Kocaoğullar, Ceren
Petri, Gustavo
Mulligan, Dominic P.
Miller, Derek
Vincent, Hugo J. M.
Xiong, Shale
Beresford, Alastair R.
contents Trusted Execution Environments (TEEs) are designed to protect the privacy and integrity of data in use. They enable secure data processing and sharing in peer-to-peer networks, such as vehicular ad hoc networks of autonomous vehicles, without compromising confidentiality. In these networks, nodes must establish mutual trust to collaborate securely. TEEs can achieve this through remote attestation, where a prover presents evidence of its trustworthiness to a verifier, which then decides whether or not to trust the prover. However, a naive peer-to-peer attestation approach, where every TEE directly attests every other TEE, results in quadratic communication overhead. This is inefficient in dynamic environments, where nodes frequently join and leave the network. To address this, we present Careful Whisper, a gossip-based protocol that disseminates trust efficiently, reducing attestation overhead to linear complexity under ideal conditions. It enables interoperability by enabling transitive trust across heterogeneous networks, and supports trust establishment with offline nodes via relayed attestations. Using a custom discrete-event simulator, we show that Careful Whisper propagates trust both faster and more widely than naive approaches across various network topologies. Our results demonstrate that our protocol is resource efficient, sending ~21.5 KiB and requiring 0.158 seconds per round in a 200-node network, and that our protocol is resilient to attestation failures across various network topologies.
format Preprint
id arxiv_https___arxiv_org_abs_2507_14796
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Careful Whisper: Attestation for peer-to-peer Confidential Computing networks
Kocaoğullar, Ceren
Petri, Gustavo
Mulligan, Dominic P.
Miller, Derek
Vincent, Hugo J. M.
Xiong, Shale
Beresford, Alastair R.
Cryptography and Security
Trusted Execution Environments (TEEs) are designed to protect the privacy and integrity of data in use. They enable secure data processing and sharing in peer-to-peer networks, such as vehicular ad hoc networks of autonomous vehicles, without compromising confidentiality. In these networks, nodes must establish mutual trust to collaborate securely. TEEs can achieve this through remote attestation, where a prover presents evidence of its trustworthiness to a verifier, which then decides whether or not to trust the prover. However, a naive peer-to-peer attestation approach, where every TEE directly attests every other TEE, results in quadratic communication overhead. This is inefficient in dynamic environments, where nodes frequently join and leave the network. To address this, we present Careful Whisper, a gossip-based protocol that disseminates trust efficiently, reducing attestation overhead to linear complexity under ideal conditions. It enables interoperability by enabling transitive trust across heterogeneous networks, and supports trust establishment with offline nodes via relayed attestations. Using a custom discrete-event simulator, we show that Careful Whisper propagates trust both faster and more widely than naive approaches across various network topologies. Our results demonstrate that our protocol is resource efficient, sending ~21.5 KiB and requiring 0.158 seconds per round in a 200-node network, and that our protocol is resilient to attestation failures across various network topologies.
title Careful Whisper: Attestation for peer-to-peer Confidential Computing networks
topic Cryptography and Security
url https://arxiv.org/abs/2507.14796