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广州大学李进教授等学术报告

ag视讯:2016-06-25 编辑: 来源:

一、广州大学李进教授学术报告

报告题目:云计算中的安全去重存储技术研究

时间:2016年6月25日 14:00-15:00

地点:ag视讯官网App园校区行政办公楼202会议室

主持人:徐秋亮教授

报告摘要:随着云计算的快速发展和推广应用,越来越多的用户数据外包存储在云端。由于云环境的不完全可信,用户敏感数据通常加密后再上传存储。然后,如何对密文数据在云端进行去重存储是一个困难问题,本报告将主要探讨密文去重存储的相关研究技术和最新进展。

报告人概况:李进,男,1981年1月生,博士后,广州大学计算机学院教授,硕士生导师,江西丰城人。2002本科毕业于西南师范大学,2007年博士毕业于中山大学,从2007至2010年分别在香港城市大学、韩国科学技术院和美国伊利诺理工学院进行博士后研究访问,2010年4月进入广州大学计算机学院工作。

主要研究领域包括:应用密码学(安全协议设计)和云计算安全(云数据存储安全、密文数据检索以及安全外包计算等)。目前已发表论文40余篇,包括IEEE INFOCOM、IEEE Transactions on Parallel and Distributed Systems、IEEE Transactions on Information Forensics and Security等知名会议和杂志,论文引用次数500余次。担任过多个国际学术程序委员会委员及大会主席,目前还担任广州计算机学会理事以及CCF YOCSEF广州委员会委员等。回国后主持了国家自然科学基金(“云计算中用户数据外包服务的安全与隐私保护研究”)、留学回国人员人才计划和广东省自然科学基金等多个基金项目,2011年入选广州市珠江科技新星人才计划。

 

二、南洋理工大学陆荣幸博士学术报告

Speaker: Dr. Rongxing Lu, School of Electrical and Electronic Engineering,

Nanyang Technological University (NTU), Singapore

Time: 15:00-16:00, June 25, 2016

Venue: Room 202, Office Building, Software Campus

Host: Prof. Xu Qiuliang

 

Title: Achieving Privacy-Preserving Location-Based Query over Outsourced Encrypted Data

 

Abstract: With the pervasiveness of smart phones, location based services (LBS) have received considerable attention and become more popular and vital recently. However, the use of LBS also poses a potential threat to user’s location privacy. In this talk, aiming at spatial range query -- a popular LBS providing information about POIs (Points Of Interest) within a given distance, we discuss an efficient and privacy-preserving location based query scheme. Specifically, to achieve privacy preserving spatial range query, we propose the first predicate only encryption scheme for inner product range, which can be used to detect whether a position is within a given circular area in a privacy-preserving way. To reduce query latency, we further design a privacy-preserving tree index structure in our scheme. Detailed security analysis confirms the security properties of our proposal. In addition, extensive experiments are conducted, and the results demonstrate that our proposal is efficient in privacy preserving spatial range query over outsourced encrypted data.

 

Bio: Rongxing Lu has been an assistant professor at the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore, since May 2013. Before that, he worked as a Postdoctoral Fellow at the University of Waterloo from May 2012 to April 2013. Rongxing Lu was awarded the most prestigious “Governor General’s Gold Medal”, when he received his PhD degree from the Department of Electrical & Computer Engineering, University of Waterloo, Canada, in 2012; and won the 8th IEEE Communications Society (ComSoc) Asia Pacific (AP) Outstanding Young Researcher Award, in 2013. He is presently a senior member of IEEE Communications Society. His research interests include big data security and privacy, cloud and fog computing security, smart grid security, and applied cryptography. He has published extensively in his areas of expertise (with H-index 44 from 谷歌 Scholar currently), and was the recipient of the Student Best Paper Award, ITS Summit Singapore 2015, the IEEE IES Student Best Paper Award 2014, the Best Paper Awards of TSINGHUA Science and Technology Journal 2014, IEEE ICCC 2015, IEEE WCNC 2013, BodyNets 2010, and IEEE ICCCN 2009. He was/is on the editorial boards of several international referred journals, e.g., IEEE Networks, and currently serves the technical symposium co-chair of IEEE Globecom’16, and many technical program committees of IEEE and others international conferences, including IEEE INFOCOM and ICC. In addition, he is currently organizing a special issue on “security and privacy issues in fog computing” in Elsevier Journal “Future Generation Computer Systems” and a special issue on “big security challenges in big data era” in IEEE Internet of Things Journal. Dr. Lu currently serves as the Secretary of IEEE ComSoc CIS-TC (Communications and Information Security Technical Committee).

 

三、北京邮电大学王励成副教授学术报告

 

报告题目:Cramer-Shoup Like Cryptosystems Based on Index Exchangeable Family

时间:2016年6月25日 16:00-17:00

地点:ag视讯官网App园校区行政办公楼202会议室

主持人:徐秋亮教授

 

摘要: At TCC 2005, Vasco et al. proposed a method for building Cramer-Shoup like cryptosystem over non-abelian groups and raised an open problem for finding a secure instantiation. In this talk, we will propose the concept of index exchangeable family (IEF) and an abstract construction of Cramer-Shoup like encryption scheme. The concrete instantiations of IEF are then derived from some reasonable hardness assumptions over abelian groups as well as non-abelian groups, respectively. These instantiations ultimately lead to simple yet efficient constructions of Cramer-Shoup like cryptosystems, including new non-abelian analogies that can be potential solutions to Vasco et al.'s open problem.

 

报告人概况:王励成,北京邮电大学副教授,博士生导师,目前主要研究方向:后量子密码。2007年毕业于上海交通大学,先后主持或主研参与国家自然基金项目、中日韩前瞻研究计划、国家973/863项目等近10项。

 

四、解放军信息工程大学赵秀凤副教授学术报告

 

报告题目:基于格的云数据完整性验证协议

时间:2016年6月25日 17:00-18:00

地点:ag视讯官网App园校区行政办公楼202会议室

主持人:徐秋亮教授

 

摘要:随着云计算的快速发展,越来越多的用户将大量数据委托给存储服务器保管,而如何确定用户存储在服务器中的数据完整性成为一个需要解决的关键问题。本文基于格上的同态MAC算法,设计了支撑第三方审计的具有隐私保护的云数据完整性认证协议。为了消除用户数据的信息泄露,保护云数据的隐私性,利用盲验证的思想,即引入一个盲化因子与挑战数据块的线性组合做加法运算,在确保正确性的前提下,使得第三方验证者无法得到用户的数据信息。同时,将盲化因子的杂凑值与挑战消息块的线性组合做乘积,消除了验证等式的线性关系,从而协议具备抵抗已知证据攻击的能力。协议具有对恶意服务器的可证明安全性和对第三方验证的可证明隐私性。与其他协议相比,协议没有使用等级认证跳表,节约了存储和通讯开销;协议使用了矩阵向量乘法,避免了大量的模指数运算,降低了第三方验证者和云服务器的计算开销;协议的安全性基于格上的困难问题,因此,协议具有抗量子计算攻击的特性。

 

报告人概况:赵秀凤,博士,解放军信息工程大学副教授,研究兴趣为密码协议。

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