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Feasibility study of data analysis with homomorphic encryption
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 1.11 MB | Adobe PDF |
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Resumo(s)
In this work I examined the existing state-of-the-art methods for privacy preservation in data
analytics, and then conducted an experiment to determine the feasibility of one of those tech niques, homomorphic encryption, with data analysis on real-life data. The findings of this ex periment were that homomorphic encryption is currently not feasible to use in data analytics,
but a methodology that is very promising and could help keep data private in the future if certain
shortcomings are addressed.
Descrição
Palavras-chave
Data analytics Encryption Privacy Homomorphic encryption Security Differential privacy K-anonimity Secure multi-party computations