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Report . 2023
License: CC BY
Data sources: Datacite
ZENODO
Report . 2023
License: CC BY
Data sources: Datacite
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Exploring Cryptographic Approaches to Enhance Privacy in Intent Solving

Authors: Khalniyazova, Yulia;

Exploring Cryptographic Approaches to Enhance Privacy in Intent Solving

Abstract

This report explores cryptographic strategies that could enhance privacy while solving intents in Anoma. We consider well-known solutions like trusted execution environment, multiparty computations and homomorphic encryption and more exotic primitives like functional encryption, witness encryption, searchable encryption and collaborative SNARKs. We identify the limiting factors for each primitive and provide a summary of the results.

Keywords

Multiparty computation, Collaborative SNARKs, Witness encryption, Functional encryption, Trusted execution environment, Searchable encryption, Homomorphic encryption, Intents, Private solving

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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83
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