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"Attribute-hiding fuzzy encryption for privacy-preserving data evaluati" by Zhenhua Chen, Luqi Huang et al.

Privacy-preserving data evaluation is one of the prominent research topics in the big data era. In many data evaluation applications that involve sensitive information, such as the medical records of patients in a medical system, protecting data privacy during the data evaluation process has become an essential requirement. Aiming at solving this problem, numerous fuzzy encryption systems for different similarity metrics have been proposed in literature. Unfortunately, the existing fuzzy encryption systems either fail to achieve attribute-hiding or achieve it, but are impractical. In this paper, we propose a new fuzzy encryption scheme for privacy-preserving data evaluation based on overlap distance, which can work in an integer domain while achieving attribute-hiding. In particular, we develop a novel approach to enable an accurate overlap distance to be fast calculated. This technique makes the number of pairing operations during decryption stage negative correlation with the size of ....

Attribute Hiding , Data Evaluation , Uzzy Encryption , Amming Distances , Medical Diagnostic Imaging , Verlap Distance , Redicate Encryption ,

"Secure Data Integrity Check Based on Verified Public Key Encryption wi" by Wenchao Li, Wily Susilo et al.

Cloud computing eliminates the need for local hardware, addressing the challenge of high computing expenses. However, entrusting data to the cloud may pose the risk of unintentional data loss. Using multiple copies and multi-cloud servers is promising because even if the data on one cloud storage server is compromised, the data proprietor can retrieve the information from alternate cloud storage servers. To protect data security, data needs to be encrypted before uploading to the cloud. However, users cannot directly confirm whether their encrypted documents and copies are stored securely and with integrity on cloud servers. To verify data copies on remote servers without downloading and decrypting, we propose Public Verification Public Key Encryption with Equality Test (PVPKEET). Under PVPKEET, users upload encrypted data to cloud servers, and then the test result and proof will be provided by the cloud server without decryption. The publicly verified proof can be examined by all user ....

Public Verification Key Encryption , Equality Test , Cloud Computing , Data Integrity , Quality Test , Keyword Search , Ulti Cloud Server , Rivacy Preserve , Public Key , Public Verification ,