Abstract
Searchable encryption (SE) schemes enable users to search over encrypted data that are outsourced to untrusted cloud servers. Although many software-based SE schemes have been developed to improve security and functionality, most of them have limitations in terms of performance and security assumptions. In order to increase the efficiency, and guarantee query and data privacy, several SE schemes based on trusted execution environment (TEE) such as Intel SGX, ARM TrustZone have been proposed recently. In this paper, we investigate the existing SGX-based searchable encryption schemes, and conduct a comparative analysis of them.
Original language | English |
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Title of host publication | ICTC 2020 - 11th International Conference on ICT Convergence |
Subtitle of host publication | Data, Network, and AI in the Age of Untact |
Publisher | IEEE Computer Society |
Pages | 526-528 |
Number of pages | 3 |
ISBN (Electronic) | 9781728167589 |
DOIs | |
Publication status | Published - 2020 Oct 21 |
Event | 11th International Conference on Information and Communication Technology Convergence, ICTC 2020 - Jeju Island, Korea, Republic of Duration: 2020 Oct 21 → 2020 Oct 23 |
Publication series
Name | International Conference on ICT Convergence |
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Volume | 2020-October |
ISSN (Print) | 2162-1233 |
ISSN (Electronic) | 2162-1241 |
Conference
Conference | 11th International Conference on Information and Communication Technology Convergence, ICTC 2020 |
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Country/Territory | Korea, Republic of |
City | Jeju Island |
Period | 20/10/21 → 20/10/23 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- Intel SGX
- Searchable Encryption(SE)
- Trusted Execution Environment(TEE)
ASJC Scopus subject areas
- Information Systems
- Computer Networks and Communications