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无线传感器网络的密钥分配,图像可逆信息隐藏

发布者:计算机信息发布时间:2019-10-25浏览次数:34

报告题目:无线传感器网络的密钥分配

报告人:杨庆隆 教授

单位:台湾东华大学

报告时间:20191030日(周)上午1000-11:00

报告地点:翡翠湖校区科教楼A602


报告简介:

无线传感器网络(Wireless Sensor Network; WSN)透過信息和通信技术广泛建置、数据收集、感测分析整合WSN已经在军事、工业、和消费应用等许多领域得到了广泛的应用。例如智慧城市、智能环保与全、家庭自动化、和电子健康等许多领域由於大量广泛的使用,因此无线传感器网络的安全性是一个非常重要的议题。为确保安全通信无线传感器网络多数研究通信节点之间如何共享通用密钥。WSN的密钥管理技术,有两大类密钥共享第一种是为传感器建立成对密钥分发(Pairwsie Key Distribution)。第二个密钥共享场景是为一个组中的所有传感器节点分发一个会议密钥的安全群组通Group Key Distribution)。

   关于成对密钥分发,攻击者在捕获传感器节点时可能会危及其他安全链路。到现在为止,密钥分发的文献已有很多,研究者们提出了大量各种方案以提高安全的连通率,並同时增强网络抵抗节点被捕获的问题。这个讲座讨论无线传感器网络密钥分发,包含了成对以及群组通信的密钥分发本報告內容集中介紹使用多項式技術,以及哈希链方法的密钥分发方案除了理论解释這些方案,也会说明当初设计的启发动机,让大家能对设计、研究无线传感器网络密钥分发有更深入的了解。


报告人简介:

  Professor Ching-Nung Yang obtained his Ph. D. degree in Electrical Engineering from National Cheng Kung University. His B.S. and M.S. degrees, both were awarded in Department of Telecommunication Engineering from National Chiao Tung University. Dr. Yang served in National Dong Hwa University since 1999. His current title is Professor in Department of Computer Science and Information Engineering. He had been Visiting Professor to University of Missouri Kansas City, University of Milan, and University of Tokyo. He is currently a Fellow of IET (IEE) and an IEEE senior member. Professor Yang has done extensive researches on visual cryptography and secret image sharing, and is the chief scientist in both areas. In fact, a very important innovation of visual cryptography, the probabilistic visual cryptography, was firstly proposed by Professor Yang. His areas of interest include error correcting code, multimedia security, cryptography, and information security. He has authored two books and has published over 250 (including more than 120 SCI-indexed papers) professional research papers in the areas of information security and coding theory. In the meantime, he has served/is serving in international academic organizations. He serves as technical reviewers for over 40 major scientific journals in the areas of his expertise, and serves as editorial boards and editors of special issues for some journals. Also, he was invited as chairs, keynote speakers, and members of program committees for various international conferences. He is the recipient of the 2000, 2006, 2010, 2012, and 2014 Fine Advising Award in the Thesis of Master/PhD of Science awarded by Institute of Information & Computer Machinery.



报告题目:图像可逆信息隐藏

报告人:殷赵霞 副教授,博导

单位:安徽大学

报告时间:20191030日(周)上午1100–12:00

报告地点:翡翠湖校区科教楼A602


报告简介:

可逆信息隐藏利用冗余信息熵空间将数据嵌入数字媒体中,在保证宿主信号能无损恢复的前提下求得更好的率失真性能。除了媒体标注和完整性认证等常规应用,近年来也出现在可逆图处理、可逆对抗样本和医学图像隐私保护等领域。在本报告中,我们着重介绍图像可逆信息隐藏基本思想和前沿研究,尤其针对最常用的图像压缩存储标准JPEG编码,介绍和讨论JPEG 可逆信息隐藏技术发展历程、当前技术水平、瓶颈、及可能的解决方案

报告人简介:

殷赵霞博士主要从事多媒体内容安全方面的研究工作,已在国际权威期刊及学术会议上发表学术论文50余篇,申请发明专利和软件著作权20余项,作为第一发明人已授权发明专利12项。她主持国家自然科学基金2项,主持完成了中国博士后基金、安徽省自然科学基金、安徽省高校振兴计划等项目,参与承担国家自然科学基金重点项目和国家863计划。入选徽省高校优秀拔尖人才、安徽大学首批优秀人才支持计划、CSC公派博士后资助计划等。担任中国计算机学会(CCF)第十一次会员代表大会会员代表、YOCSEF合肥学术委员会2016-2017副主席;CIHWICCCSSICBS等多媒体安全相关学术会议Session ChairIEEE Trans.on Image Processing, TIFS、中国科学、软件学报等国际国内期刊及学术会议审稿人。现为中国图象图形学学会CSIG高级会员、数字媒体取证与安全专业委员会委员、女工委委员;安徽省计算机学会ACF青年工作委员会委员;CCF多媒体专委会委员;CAA人工智能与机器人教育专业委员会委员。