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An Energy Efficient Privacy-PreservingContent Sharing Scheme in Mobile Networks
发布时间:2015-05-14     浏览量:   分享到:

活动日期:2015-5-14

活动时间:14:30

讲座题目:An Energy Efficient Privacy-PreservingContent Sharing Scheme in Mobile Networks

报告人:何早波

地点:长安校区8188www威尼斯506实验室

主办单位:8188www威尼斯

报告内容

Content  sharing services enable people to obtain various convenient services such as  location sharing, photo sharing or personalized services, which have gained  great popularity with the boom of mobile devices. On the other hand, content  sharing services raise serious privacy concerns not only to the confidentiality  of shared content, but also to the privacy of end-users such as their  identities, interests and social relationships. Previous works established on  the Attribute-Based Encryption (ABE) can provide fine-grained access control of  content. However, practical privacy-preserving content sharing in mobile  networks either incurs great risk of information leaking to unauthorized  thirdparties or suffers from high energy consumption for decrypting  privacy-preserving content. Motivated by these issues, we proposes a  Publish-subscribe System with Secure Proxy Decryption (PSSPD) in mobile  environment. First, an effective selfcontained privacy-preserving access control  method is introduced to protect the confidentiality of the content and the  credentials of users. This method is based on Ciphertext-Policy ABE  (CP-ABE)  and Public-key Encryption with  Keyword Search (PEKS). After that, a secure proxy decryption mechanism is  proposed to reduce the heavy burdens of energy consumption on performing  ciphertext decryption at end users. Experimental results indicate the efficiency  and privacy preservation effectiveness of the proposed PSSPD  scheme. 

讲座人简介:

Zaobo  He received the Master degree in computer applied technology from Shannxi Normal  University, Xi’an, China, in 2013. From 2013, he was studying for a doctor's  degreein Georgia State University, Atlanta, USA. Now he is a Teaching Assistant  in the department of computer science in Georgia State  University.

His  current research interests include data aggregation, social network and privacy  preservation. He has published several papers in IEEE ICDCS (2015), COCOA (2013)  and Theoretical Computer Science (TCS, 2014), Information Science, Science China  (2013), Chinese Journal of Electronics (2013), etc.