Abstrakti
Symmetric Searchable Encryption (SSE) is an encryption technique that allows users to search directly on their outsourced encrypted data while preserving the privacy of both the files and the queries. Unfortunately, majority of the SSE schemes allows users to either decrypt the whole ciphertext or nothing at all. In this paper, we propose a novel scheme based on traditional symmetric primitives, that allows data owners to bind parts of their ciphertexts with specific policies. Inspired by the concept of Attribute-Based Encryption (ABE) in the public setting, we design a scheme through which users can recover only certain parts of an encrypted document if and only if they retain a set of attributes that satisfy a policy. Our construction satisfies the important notion of forward privacy while at the same time supports the multi-client model by leveraging SGX functionality for the synchronization of users. To prove the correctness of our approach, we provide a detailed simulation-based security analysis coupled with an extensive experimental evaluation that shows the effectiveness of our scheme.
Alkuperäiskieli | Englanti |
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Otsikko | 2nd Workshop on Cloud Security and Privacy (Cloud S&P 2020) |
Kustantaja | Springer |
ISBN (elektroninen) | 978-3-030-61638-0 |
DOI - pysyväislinkit | |
Tila | Julkaistu - 2020 |
OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
Tapahtuma | Applied Cryptography and Network Security Workshops - Rome, Italia Kesto: 19 lokak. 2020 → 22 lokak. 2020 |
Julkaisusarja
Nimi | Lecture Notes in Computer Science |
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Vuosikerta | 12418 |
ISSN (painettu) | 0302-9743 |
ISSN (elektroninen) | 1611-3349 |
Conference
Conference | Applied Cryptography and Network Security Workshops |
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Maa/Alue | Italia |
Kaupunki | Rome |
Ajanjakso | 19/10/20 → 22/10/20 |
Julkaisufoorumi-taso
- Jufo-taso 1
Sormenjälki
Sukella tutkimusaiheisiin 'Attribute-Based Symmetric Searchable Encryption'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.Tietoaineistot
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Attribute-Based Symmetric Searchable Encryption
Dang, H.-V. (Creator), Ullah, A. (Creator), Bakas, A. (Creator) & Michalas, A. (Creator), 15 elok. 2020
DOI - pysyväislinkki: 10.5281/zenodo.3986839
Tietoaineisto: Dataset