Open AccessEfficient keyword search over encrypted data in multi‐cloud setting
Author(s) -
Miao Yinbin,
Liu Jiajia,
Ma Jianfeng
Publication year - 2016
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0122
pISSN - 1939-0114
DOI - 10.1002/sec.1559
Subject(s) - computer science , keyword search , encryption , cloud computing , information retrieval , database , computer security , operating system
Abstract With the emergence of cloud storage, enabling cloud clients to securely store and efficiently retrieve ciphertext is a fundamental issue in cloud computing as data outsourcing can greatly ease heavy computation and management burden locally. Unfortunately, two challenging issues (i.e., data security and privacy) dramatically impede the adaption and practicability of cloud storage due to honest‐but‐curious cloud service provider (CSP). Furthermore, data encryption mechanism seriously makes the information retrieval over ciphertext extremely difficult. Besides, dealing with single CSP is predicted to become less popular with cloud customers for fear of risks of single‐point failure threats and potential malicious insiders. To this end, we propose two efficient keyword search over encrypted data in multi‐cloud setting schemes which exploit Identity‐Based Encryption (IBE) and Key‐Policy Attribute‐Based Encryption (KP‐ABE), respectively. Formal security analysis proves that our schemes can guarantee data privacy and reliability. As a further contribution, experimental results over real‐world dataset show that our proposed schemes are feasible and efficient in practical applications. Copyright © 2016 John Wiley & Sons, Ltd.