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Blockchain-Based Multi-keyword Search on Encrypted COVID-19 Contact Tracing Data
17th International Conference on Information Security Practice and Experience, ISPEC 2022 ; 13620 LNCS:75-92, 2022.
Artigo em Inglês | Scopus | ID: covidwho-2173792
ABSTRACT
Contact tracing data contain highly sensitive information in which any form of leakage will significantly threaten the security and privacy of the individual. Encryption schemes can be used to ensure confidentiality;however, the usability of the retrieval system will be reduced considerably as the encrypted data does not support searchability. Hence, searchable encryption could be applied to contact tracing data. This paper introduces our implementation of a blockchain-based multi-keyword searchable encryption for COVID-19 contact tracing data. We used Advanced Encryption Standard as the symmetric primitive for encrypting datasets and Attribute-based Encryption as the asymmetric primitive for encrypting the search index. We incorporated Blockchain-based storage into our scheme to assure the integrity of the datasets and search index. It provides immutable storage and ensures data integrity and non-repudiation, as any form of access will be logged automatically. The results show that the scheme works efficiently without compromising any security goals. Compared to the existing searchable contact tracing schemes, it provides more features and maintains efficiency even if a large search index was used within the system. © 2022, Springer Nature Switzerland AG.
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Texto completo: Disponível Coleções: Bases de dados de organismos internacionais Base de dados: Scopus Idioma: Inglês Revista: 17th International Conference on Information Security Practice and Experience, ISPEC 2022 Ano de publicação: 2022 Tipo de documento: Artigo

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Texto completo: Disponível Coleções: Bases de dados de organismos internacionais Base de dados: Scopus Idioma: Inglês Revista: 17th International Conference on Information Security Practice and Experience, ISPEC 2022 Ano de publicação: 2022 Tipo de documento: Artigo