Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 134 tok/s
Gemini 2.5 Pro 41 tok/s Pro
GPT-5 Medium 24 tok/s Pro
GPT-5 High 26 tok/s Pro
GPT-4o 92 tok/s Pro
Kimi K2 193 tok/s Pro
GPT OSS 120B 439 tok/s Pro
Claude Sonnet 4.5 37 tok/s Pro
2000 character limit reached

User-generated pseudonyms through Merkle trees (2109.03673v1)

Published 8 Sep 2021 in cs.CR

Abstract: A pseudonymisation technique based on Merkle trees is described in this paper. More precisely, by exploiting inherent properties of the Merkle trees as cryptographic accumulators, we illustrate how user-generated pseudonyms can be constructed, without the need of a third party. Each such pseudonym, which depends on several user's identifiers, suffices to hide these original identifiers, whilst the unlinkability property between any two different pseudonyms for the same user is retained; at the same time, this pseudonymisation scheme allows the pseudonym owner to easily prove that she owns a pseudonym within a specific context, without revealing information on her original identifiers. Compared to other user-generated pseudonymisation techniques which utilize public key encryption algorithms, the new approach inherits the security properties of a Merkle tree, thus achieving post-quantum security.

Citations (2)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.