期刊
IEEE TRANSACTIONS ON SERVICES COMPUTING
卷 10, 期 5, 页码 715-725出版社
IEEE COMPUTER SOC
DOI: 10.1109/TSC.2016.2542813
关键词
Attribute-based encryption; cloud computing; outsourced key-issuing; outsourced decryption; keyword search
资金
- National Natural Science Foundation of China [61272542, 61300213]
- Six Talent Peaks Project of Jiangsu Province [2015-DZXX-020]
- Priority Academic Program Development of Jiangsu Higher Education Institutions
- Fundamental Research Funds for the Central Universities [2013B07014]
Cloud computing becomes increasingly popular for data owners to outsource their data to public cloud servers while allowing intended data users to retrieve these data stored in cloud. This kind of computing model brings challenges to the security and privacy of data stored in cloud. Attribute-based encryption (ABE) technology has been used to design fine-grained access control system, which provides one good method to solve the security issues in cloud setting. However, the computation cost and ciphertext size in most ABE schemes grow with the complexity of the access policy. Outsourced ABE (OABE) with fine-grained access control system can largely reduce the computation cost for users who want to access encrypted data stored in cloud by outsourcing the heavy computation to cloud service provider (CSP). However, as the amount of encrypted files stored in cloud is becoming very huge, which will hinder efficient query processing. To deal with above problem, we present a new cryptographic primitive called attribute-based encryption scheme with outsourcing key-issuing and outsourcing decryption, which can implement keyword search function (KSF-OABE). The proposed KSF-OABE scheme is proved secure against chosen-plaintext attack (CPA). CSP performs partial decryption task delegated by data user without knowing anything about the plaintext. Moreover, the CSP can perform encrypted keyword search without knowing anything about the keywords embedded in trapdoor.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据