SSSDB: Database with Private Information Search

Avni, Hillel; Gilboa, Niv; Li, Ximing

doi:10.1007/978-3-319-29919-8_4

Cited by 6 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although data encryption can effectively avoid unlawful access to data, it also destroys the underlying semantic structure of data, making it impossible to perform operations such as calculation and retrieval of ciphertext. Consequently, the results of ciphertext operations make little sense by using traditional encryption methods, making ciphertext retrieval become a new challenge (Chor et al, 1995;Boneh et al, 2007;Avni et al, 2015).…”

Section: Database Privacy Protectionmentioning

confidence: 99%

Research Review on the Application of Homomorphic Encryption in Database Privacy Protection

Zhao

Li³

et al. 2021

International Journal of Cognitive Informatics and Natural Intelligence

View full text Add to dashboard Cite

With the advent and development of database applications such as big data and data mining, how to ensure the availability of data without revealing sensitive information has been a significant problem for database privacy protection. As a critical technology to solve this problem, homomorphic encryption has become a hot research area in information security at home and abroad in recent years. The paper sorted out, analyzed, and summarized the research progress of homomorphic encryption technology in database privacy protection. Moreover, the application of three different types of homomorphic encryption technology in database privacy protection was introduced respectively, and the rationale and characteristics of each technique were analyzed and explained. Ultimately, this research summarized the challenges and development trends of homomorphic encryption technology in the application of database privacy protection, which provides a reference for future research.

show abstract

Section: Database Privacy Protectionmentioning

confidence: 99%

Research Review on the Application of Homomorphic Encryption in Database Privacy Protection

Zhao

Li³

et al. 2021

International Journal of Cognitive Informatics and Natural Intelligence

View full text Add to dashboard Cite

show abstract

“…In recent years, various technologies have been broadly used for data privacy protection, such as private information retrieval [6][7][8][9][10][11], searchable encryption [12][13][14][15][16][17], and secure multi-party computation [18][19][20][21][22][23], but these technologies can only provide limited functions, such as keyword search, order search, range query, and subset search. However, for many application scenarios in the cloud environment, it requires various types operations of ciphertext data.…”

Section: Introductionmentioning

confidence: 99%

A privacy protection-oriented parallel fully homomorphic encryption algorithm in cyber physical systems

Min

Yang

Sangaiah

et al. 2019

J Wireless Com Network

View full text Add to dashboard Cite

Cyber physical system (CPS) is facing enormous security challenges because of open and interconnected network and the interaction between cyber components and physical components, the development of cyber physical systems is constrained by security and privacy threats. A feasible solution is to combine the fully homomorphic encryption (FHE) technique to realize the efficient operation of ciphertext without decryption. However, most current homomorphic encryption algorithms only support limited data types, making it difficult to be widely applied in actual environment. To address this limitation, we propose a parallel fully homomorphic encryption algorithm that supports floating-point numbers. The proposed algorithm not only expands the data types supported by the existing fully homomorphic encryption algorithms, but also utilizes the characteristics of multi-nodes in cloud environment to conduct parallel encryption through simultaneous group-wise ciphertext computations. The experimental results show that, in a 16-core 4-node cluster with MapReduce environment, the proposed encryption algorithm achieves the maximum speed-up exceeding 5, which not only solves the limited application problem of the existing fully homomorphic encryption algorithm, but also meets the requirements for the efficient homomorphic encryption of floating-point numbers in cloud computing environment.

show abstract

Secure File Storage System Among Distributed Public Clouds

Chen

Guo

et al. 2018

Cloud Computing and Security

View full text Add to dashboard Cite

SSSDB: Database with Private Information Search

Cited by 6 publications

References 9 publications

Research Review on the Application of Homomorphic Encryption in Database Privacy Protection

Research Review on the Application of Homomorphic Encryption in Database Privacy Protection

A privacy protection-oriented parallel fully homomorphic encryption algorithm in cyber physical systems

Secure File Storage System Among Distributed Public Clouds

Contact Info

Product

Resources

About