Title :
A novel privacy preserving keyword searching for cloud storage
Author :
Lin Cheng ; Zhengping Jin ; Qiaoyan Wen ; Hua Zhang
Author_Institution :
State Key Lab. of Networking & Switch Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
In cloud storage environment, clients no longer have physical possession of their data, it indicates that their data may be leaked maliciously by cloud provider. To avoid the security risks, we propose a privacy preserving keyword searching scheme whose encryption procedure needs no pairing operation. Our scheme allows users to encrypt their data before uploading to the cloud, and retrieve them by searching the encrypted keywords, besides it enables the cloud service provider to participate in decipherment which reduces the computational overhead of the client´s decryption. Performance analysis shows our new scheme is more efficient and more adaptable to the cloud environment than the existing schemes. In addition, the new scheme is proved to be semantically secure in the random oracle model.
Keywords :
cloud computing; cryptography; data privacy; cloud storage; decryption; encryption procedure; privacy preserving keyword searching; random oracle model; security risks; Artificial intelligence; Cloud computing; Encryption; Keyword search; Public key;
Conference_Titel :
Privacy, Security and Trust (PST), 2013 Eleventh Annual International Conference on
Conference_Location :
Tarragona
DOI :
10.1109/PST.2013.6596039