On the efficiency of FHE-based private queries

On the efficiency of FHE-based private queries

Private query processing is a very attractive problem in the fields of both cryptography and databases. In this work, we restrict our attention to the efficiency aspect of the problem, particularly for basic queries with conditions on various combinations of equality. Without loss of generality, the...

Saved in:

書目詳細資料
Main Authors:	Kim, Myungsun, Lee, Hyung Tae, Ling, San, Wang, Huaxiong
其他作者:	School of Physical and Mathematical Sciences
格式:	Article
語言:	English
出版:	2020
主題:	Science::Mathematics Encrypted Databases Homomorphic Encryption
在線閱讀:	https://hdl.handle.net/10356/140106
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

相似書籍

Search condition-hiding query evaluation on encrypted databases
由: Kim, Myungsun, et al.
出版: (2020)

Analysis of Gong et al.'s CCA2-secure homomorphic encryption
由: Lee, Hyung Tae, et al.
出版: (2017)

Fully homomorphic encryption over the integers for non-binary plaintexts without the sparse subset sum problem
由: Aung, Khin Mi Mi, et al.
出版: (2020)

Robust asynchronous federated learning with time-weighted and stale model aggregation
由: MIAO, Yinbin, et al.
出版: (2024)

An efficient FHE-enabled secure cloud-edge computing architecture for IoMTs data protection with its application to pandemic modelling
由: Zhang, Linru, et al.
出版: (2024)

Semi-generic construction of public key encryption and identity-based encryption with equality test
由: Lee, Hyung Tae, et al.
出版: (2017)

Encrypted genomes: advancing personalized medicine with homomorphic encryption
由: Lee, Bryan Wei Han
出版: (2024)

Efficient verifiable computation of linear and quadratic functions over encrypted data
由: TRAN, Ngoc Hieu, et al.
出版: (2016)

Efficient FHE-based privacy-enhanced neural network for trustworthy AI-as-a-service
由: Lam, Kwok-Yan, et al.
出版: (2024)

CCA-secure keyed-fully homomorphic encryption
由: LAI, Junzuo, et al.
出版: (2016)

Efficient and privacy-preserving outsourced calculation of rational numbers
由: LIU, Ximeng, et al.
出版: (2018)

Secure encrypted data deduplication with ownership proof and user revocation
由: DING, Wenxiu, et al.
出版: (2017)

PUSC: Privacy-preserving user-centric skyline computation over multiple encrypted domains
由: LIU, Ximeng, et al.
出版: (2018)

Public key encryption with equality test from generic assumptions in the random oracle model
由: Lee, Hyung Tae, et al.
出版: (2020)

Authenticable data analytics over encrypted data in the cloud
由: CHEN, Lanxing, et al.
出版: (2023)

Improved packing for fully homomorphic encryption with reverse multiplication friendly embeddings
由: Sim, Jun Jie
出版: (2024)

Homomorphic comparison for point numbers with user-controllable precision and its applications
由: Chung, H., et al.
出版: (2021)

Efficient public key encryption with equality test in the standard model
由: Zhang, Kai, et al.
出版: (2020)

Enabling efficient spatial keyword queries on encrypted data with strong security guarantees
由: WANG, Xiangyu, et al.
出版: (2021)

CCA2 Attack and Modification of Huang et al .’s Public Key Encryption with Authorized Equality Test
由: Lee, Hyung Tae, et al.
出版: (2017)

Server-aided revocable predicate encryption : formalization and lattice-based instantiation
由: Ling, San, et al.
出版: (2021)

An efficient privacy-preserving outsourced calculation toolkit with multiple keys
由: LIU, Ximeng, et al.
出版: (2016)

Encrypted data processing with Homomorphic Re-Encryption
由: DING, Wenxiu, et al.
出版: (2017)

A privacy-preserving outsourced functional computation framework across large-scale multiple encrypted domains
由: LIU, Ximeng, et al.
出版: (2016)

On query result integrity over encrypted data
由: Esiner, Ertem, et al.
出版: (2017)

Privacy-preserving Byzantine-robust federated learning via blockchain systems
由: MIAO, Yinbin, et al.
出版: (2022)

Complex Queries in a Shared Multi User Relational Cloud Database
由: Sidorov, Vasily, et al.
出版: (2017)

DESIGN METHODOLOGIES FOR TRUSTED AND EFFICIENT OUTSOURCING OF PRIVACY-PRESERVING AI
由: MEFTAH SOUHAIL
出版: (2023)

Towards efficient proofs of storage and verifiable outsourced database in cloud computing
由: XU JIA
出版: (2012)

Privacy-preserving data processing with flexible access control
由: DING, Wenxiu, et al.
出版: (2020)

Efficient and privacy-preserving encode-based range query over encrypted cloud data
由: LIANG, Yanrong, et al.
出版: (2024)

EFFICIENT PRIVACY-PRESERVING COMPUTATION WITH TRUSTED HARDWARE
由: TOPLE SHRUTI SHRIKANT
出版: (2018)

Hardware implementation for secure computation on encrypted data
由: Ding, Dao Xian
出版: (2024)

Privacy-preserving outsourced calculation toolkit in the cloud
由: LIU, Ximeng, et al.
出版: (2020)

ShieldFL: Mitigating model poisoning attacks in privacy-preserving federated learning
由: MA, Zhuoran, et al.
出版: (2022)

Lattice-based proxy-oriented identity-based encryption with keyword search for cloud storage
由: Zhang, Xiaojun, et al.
出版: (2020)

Efficient Privacy-Preserving Federated Learning With Improved Compressed Sensing
由: ZHANG, Yifan., et al.
出版: (2023)

DW-AES: A Domain-Wall Nanowire-Based AES for High Throughput and Energy-Efficient Data Encryption in Non-Volatile Memory
由: Wang, Yuhao, et al.
出版: (2017)

PRACTICAL POST-QUANTUM CRYPTOGRAPHY & FULLY HOMOMORPHIC ENCRYPTION ON GRAPHICS PROCESSORS: DESIGN & PERFORMANCE EVALUATION
由: AHMAD QAISAR AHMAD AL BADAWI
出版: (2019)

Multi-key fully homomorphic encryption on machine learning models
由: Tan, Jian Wei
出版: (2025)