PP-DDP: a privacy-preserving outsourcing framework for solving the double digest problem.

Suo, Jingwen; Gu, Lize; Yan, Xingyu; Yang, Sijia; Hu, Xiaoya; Wang, Licheng

Suo, Jingwen; Gu, Lize; Yan, Xingyu; Yang, Sijia; Hu, Xiaoya; Wang, Licheng.

Afiliación

Suo J; State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.
Gu L; State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.
Yan X; State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.
Yang S; State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.
Hu X; State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.
Wang L; State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China. wanglc2012@126.com.

BMC Bioinformatics ; 24(1): 34, 2023 Jan 31.

Article en En | MEDLINE | ID: mdl-36721089

Asunto(s)

Servicios Externos; Humanos; Privacidad; Algoritmos; Biología Computacional; Emociones

Palabras clave

Double digest problem; Order-preserving homomorphic index scheme; Outsourcing computation; Privacy-preserving; Quantum inspired genetic algorithm

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Servicios Externos Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google