Research on Search Method of Mixed Cloud Storage Segmentation Ciphertext

Autor:	Wu Xiang, Yangliu Ou, Xiaoming Ju, Zhang Quan
Rok vydání:	2018
Předmět:	Flexibility (engineering) History Database business.industry Computer science Cloud computing Construct (python library) Encryption computer.software_genre Data segment Computer Science Applications Education Ciphertext Data_FILES Segmentation business Cloud storage computer
Zdroj:	Journal of Physics: Conference Series. 1087:032028
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1087/3/032028
Popis:	Aiming at the security protection and effective search requirements of files in hybrid cloud environment and overcoming the untrustworthiness of third-party cloud services, a secure ciphertext search method for hybrid cloud environment based on file-sensitive data segmentation is proposed.. Using file-sensitive words to split the file into several sub-files. The sub-files is sensitively encrypted and stored in different cloud environments, allowing file to have better flexibility and security, and construct a ciphertext index of segmented ciphertext. Experiments show that this method can complete the secure file search and restoration work in a complex mixed cloud environment.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b8b069f54d1d15b7f0f1fe7c4a30547e https://doi.org/10.1088/1742-6596/1087/3/032028 Zobrazit plný text záznamu