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Full-Text Articles in Information Security
Ciphertext-Policy Attribute-Based Encryption With Partially Hidden Access Structure And Its Application To Privacy-Preserving Electronic Medical Record System In Cloud Environment, Lixian Liu, Junzuo Lai, Robert H. Deng, Yingjiu Li
Ciphertext-Policy Attribute-Based Encryption With Partially Hidden Access Structure And Its Application To Privacy-Preserving Electronic Medical Record System In Cloud Environment, Lixian Liu, Junzuo Lai, Robert H. Deng, Yingjiu Li
Research Collection School Of Computing and Information Systems
With the development of cloud computing, more and more sensitive data are uploaded to cloud by companies or individuals, which brings forth new challenges for outsourced data security and privacy. Ciphertext-policy attribute-based encryption (CP-ABE) provides fine-grained access control of encrypted data in the cloud; in a CP-ABE scheme, an access structure, also referred to as ciphertext-policy, is sent along with a ciphertext explicitly, and anyone who obtains a ciphertext can know the access structure associated with the ciphertext. In certain applications, access structures contain very sensitive information and must be protected from everyone except the users whose private key attributes …
Privacy-Preserving Outsourced Calculation On Floating Point Numbers, Ximeng Liu, Robert H. Deng, Wenxiu Ding, Rongxing Lu
Privacy-Preserving Outsourced Calculation On Floating Point Numbers, Ximeng Liu, Robert H. Deng, Wenxiu Ding, Rongxing Lu
Research Collection School Of Computing and Information Systems
In this paper, we propose a framework for privacy-preserving outsourced calculation on floating point numbers (POCF). Using POCF, a user can securely outsource the storing and processing of floating point numbers to a cloud server without compromising on the security of the (original) data and the computed results. In particular, we first present privacy-preserving integer processing protocols for common integer operations. We then present an approach to outsourcing floating point numbers for storage in a privacy-preserving way, and securely processing commonly used floating point number operations on-the-fly. We prove that the proposed POCF achieves the goal of floating point number …
Deduplication On Encrypted Big Data In Cloud, Zheng Yan, Wenxiu Ding, Xixun Yu, Haiqi Zhu, Deng, Robert H.
Deduplication On Encrypted Big Data In Cloud, Zheng Yan, Wenxiu Ding, Xixun Yu, Haiqi Zhu, Deng, Robert H.
Research Collection School Of Computing and Information Systems
Cloud computing offers a new way of service provision by re-arranging various resources over the Internet. The most important and popular cloud service is data storage. In order to preserve the privacy of data holders, data are often stored in cloud in an encrypted form. However, encrypted data introduce new challenges for cloud data deduplication, which becomes crucial for big data storage and processing in cloud. Traditional deduplication schemes cannot work on encrypted data. Existing solutions of encrypted data deduplication suffer from security weakness. They cannot flexibly support data access control and revocation. Therefore, few of them can be readily …