内容

学术讲座:A Lightweight Privacy-Preserving Truth Discovery Framework for Mobile Crowd Sensing Systems

阅读数:980    发布:2016-12-26 17:55    

报告题目A Lightweight Privacy-Preserving Truth Discovery Framework for Mobile Crowd Sensing Systems

报告时间2016-12-27 10:30 – 11:30

报告地点:计算机与软件学院,943


报告摘要The recent proliferation of human-carried mobile devices has given rise to the mobile crowd sensing (MCS) systems. However, the sensory data provided by the participating workers are usually not reliable. As an efficient technique to extract truthful information from unreliable data, truth discovery has drawn significant attention. Currently, the privacy concern of the participating workers poses a major challenge on the design of truth discovery mechanisms. In this paper, we propose a novel lightweight privacy preserving truth discovery framework, L-PPTD. This framework not only achieves the protection of each worker’s sensory data and reliability information but also introduces little overhead to the workers. In order to further reduce each worker’s overhead in the scenarios where only the sensory data need to be protected, we propose another more lightweight framework named L2-PPTD. The desirable performance of the proposed frameworks is verified through extensive experiments conducted on real world MCS systems.


报告人简介:田苗苗,男,1987年生,安徽阜阳人。2014年毕业于中国科学技术大学计算机软件与理论专业,获博士学位。后入职安徽大学计算机科学与技术学院,主要从事密码学、信息安全方面的研究工作。近年来共发表学术论文40多篇,其中SCI/EI收录30余篇,授权发明专利2项。作为项目负责人,主持了包括国家自然科学基金青年项目在内的多个国家级与省部级项目,并曾荣获中国科学院“院长奖”。



深圳大学计算机与软件学院 2009-2016