肖迪,男,博士,
重庆大学计算机学院教授、博士生导师,教育部新世纪优秀人才,
重庆市杰出青年科学基金获得者。作为项目负责人曾先后主持国家自然科学基金项目3项、重庆市杰出青年科学基金项目1项、重庆市基础科学与前沿技术研究专项重点项目1项、中国博士后科学基金项目1项、重庆市自然科学基金项目2项;作为主研人员曾先后参研国家自然科学基金重点项目和国家重点研发计划等项目。
已在IEEE Transactions on Circuits and Systems-Ⅱ、IEEE Internet of Things Journal、Information Sciences等重要期刊发表学术论文90余篇,被SCI检索85篇。2011年和2013年分别受国际知名安全专家邀请,参编德国Springer出版社和美国CRC出版社出版的两本安全专著。已申请国家发明专利3项,获权1项。
人物经历
2005年6月毕业于
重庆大学计算机软件与理论专业,获工学博士学位;
2006年1月至2008年6月在重庆大学控制科学与工程博士后流动站作博士后研究;
2008年12月至2009年12月由国家公派到美国New Jersey Institute of Technology计算机系做访问学者;
2019年由国家公派到
澳大利亚Deakin University信息学院做高级研究学者。
研究方向
信息安全、
多媒体安全、密文域智能
信号处理与云安全、
大数据安全与隐私保护等。
社会兼职
IEEE/ACM/CCF/CSIG会员及中国密码学会高级会员,中国密码学会混沌保密通信专委会委员、中国密码学会青年工作委员会委员,中国图象图形学会数字媒体取证与安全专委会委员。
专著论文
专著
肖迪教授在科学出版社出版了学术专著《混沌密码学原理及其应用》(ISBN 9787030246776)。
论文
2019
[1]Hui Wang,Di Xiao*,Min Li, Yanping Xiang, Xinyan Li. A visually secure image encryption scheme based on parallel compressive sensing. ,Signal Processing,2019, 155, 218-232.
[2]Di Xiao, Jia Liang, Qingqing Ma, Yanping Xiang, Yushu Zhang. High Capacity Data Hiding in Encrypted Image Based on Compressive Sensing for Nonequivalent Resources.Computers, Materials \u0026 Continua,2019, 58(1): 1-13.
[3] Yanping Xiang,Di Xiao*, Hui Wang and Xinyang Li. A Secure Image Tampering Detection and Self-recovery Scheme Using POB Number System over Cloud,Signal Processing,2019,162: 282-295.
[4] Mengdi Wang,Di Xiao*, Yanping Xiang and Hui Wang.Privacy-aware Controllable Compressed Data Publishing against Sparse Estimation Attack in Internet of Things,IEEE Internet-of-things Journal, Accepted.
[5] Mengdi Wang,Di Xiao*and Zihang Ao. A novel privacy-preserving data gathering
Scheme in WSN based on compressive sensing and embedding,53rd IEEE International Conference on Communications (ICC 2019), Accepted. (CCF推荐会议)
[6] Bo Zhang,Di Xiao*, Zhenyu Zhang, Lei Yang, Sen Bai. Compressing encrypted
Stock Images by using 2D compressed sensing,21st High Performance Computing and Communications (HPCC 2019), Accepted. (CCF推荐会议)
2018
[1]Hui Wang,Di Xiao*,Xin Chen, Hongyu Huang.
密码分析 and enhancement of an image encryption
Scheme using three 1-D chaotic maps,Signal Processing,2018, 144: 444-452.
[2]Rui Zhang,Di Xiao*, and Yanting Chang.A Novel Image Authentication with Tamper Localization and Self-Recovery in Encrypted Domain Based on Compressive Sensing.Security and Communication Networks,2018, Article ID 1591206, 15 pages.
[3]Di Xiao, Juan Zhao, Mengdi Wang, Yong Wang.Controllable High-capacity Separable Data Hidingin Encrypted
Stock Images by Compressive Sensing and Data Pretreatment.Multimedia Tools and Applications, 2018, 77(18), 23949-23968.
2017
[1]Di Xiao, Lan Wang, Tao Xiang, Yong Wang, Multi-focus Image Fusion and Robust Encryption Algorithm Based on Compressive Sensing,Optics \u0026 Laser Technology,2017, 91: 212-225.
[2]Di Xiao, Yanping Xiang, Hongying Zheng and Yong Wang. Separable reversible data hiding in encrypted image based on pixel value ordering and additive homomorphism,Journal of Visual Communication and Image Representation, 2017,45:1–10.
[3]Di Xiao, Yanting Chang, Tao Xiang, Sen Bai. A Watermarking Algorithm in Encrypted Image Based on Compressed Sensing with High Quality Image Reconstruction and Watermark
表演Multimedia Tools and Applications,2017, 76(7): 9265-9296.
[4] Guiqiang Hu,Di Xiao*, Tao Xiang, Sen Bai, Yushu Zhang,A Compressive Sensing based privacy preserving outsourcing of image storage and identity authentication service in cloud,Information Sciences,2017, 387: 132 – 145.
[5]Guiqiang Hu,Di Xiao*, Yushu Zhang, Tao Xiang. An efficient chaotic image cipher with dynamic lookup table driven bit-level permutation strategy,Nonlinear
动力学,2017, 87(2): 1359-1375.
[6]Guiqiang Hu,Di Xiao*, Yong Wang, Xinyan Li.
密码分析 of a chaotic image cipher using Latin square-based confusion and diffusion,Nonlinear Dynamics,2017, 88(2): 1305-1316.
[7] Guiqiang Hu,Di Xiao*, Yong Wang, Tao Xiang. Yushu Zhang, An image coding scheme using parallel compressive sensing for simultaneous compression-encryption applications,Journal of Visual Communication and Image Representation,2017,44:116–127.
[8]Guiqiang Hu,Di Xiao*, Yong Wang, Tao Xiang, Securing image information using double random phase encoding and parallel compressive sensing with updated sampling processes,Optics and Lasers in Engineering,2017, 98: 123-133.
[9]Di Xiao, Ying Wang, Tao Xiang and Sen Bai. High-payload complete reversible data hiding in encrypted
Stock Images by interpolation technique,Frontiers of Information Technology \u0026 Electronic Engineering, 2017, 18(11): 1732-1743.
2016
[1]Di Xiao, Qingqing Fu, Tao Xiang and Yushu Zhang. Chaotic Image Encryption of Regions of Interest,International Journal of Bifurcation and Chaos, 2016, 26 (11):1650193 (15 pages).
[2]Yushu Zhang,Di Xiao*, Kwok-Wo Wong, Jiantao Zhou, Sen Bai and Moting Su.Perturbation meets key-based interval splitting arithmetic coding: security enhancement and chaos generalization.Security and communication networks, 2016,9(1):43-53.
[3] Ayesha Kulsoom,Di Xiao*, Aqeel-ur-Rehman and Syed Ali Abbas. An efficient and noise resistive selective image encryption scheme for gray
Stock Images based on chaotic maps and
脱氧核糖核酸 complementary rules.Multimedia Tools and Applications,2016,75(1): 1-23.
[4]Hong Liu,Di Xiao*,Yunpeng Xiao,Yushu Zhang. Robust image hashing with tampering recovery capability via low-rank and sparse representation.Multimedia Tools and Applications,2016, 75(13): 7681-7696.
[5]Ming Li,Di Xiao*, Yushu Zhang, Reversible data hiding in block compressed sensing images,ETRI Journal, 2016, 38(1): 159-163.
[6]Di Xiao, Hongkun Cai, Yong Wang, Sen Bai.High-capacity separable data hiding in encrypted image based on compressive sensing.Multimedia Tools and Applications,2016, 75(21): 13779-13789.
[7]Ming Li,Di Xiao*, Hong Liu, Sen Bai, A recoverable chaos-based fragile watermarking with high PSNR preservation, Security and Communication Networks, 2016,9(14):2371-2386.
[8] Hong Liu,Di Xiao*, Rui Zhang, Yushu Zhang, Sen Bai. Robust and hierarchical watermarking of encrypted
Stock Images based on compressive sensing.Signal Processing: Image Communication, 2016, 45: 41–51.
2015
[1]Di Xiao, Shulei Hu, Hongying Zheng, A high capacity combined reversible watermarking scheme for 2-D CAD engineering graphics,Multimedia Tools and Applications, 2015, 74(6):2109–2126.
[2] Di Xiao, Hong-kun Cai , Hong-ying Zheng. A joint image encryption and watermarking algorithm based on compressive sensing and chaotic map,Chinese Physics B, 2015, 24(6): 060505
[3]Yushu Zhang,Di Xiao*, Wenying Wen, Hai Nan, Moting Su.Secure binary arithmetic coding based on digitalized modified logistic map and linear feedback shift register.Communications in Nonlinear Science and Numerical Simulation, 2015, 27(1-3): 22-29.
[4] Ming Li,Di Xiao*, Ayesha Kulsoom, Yushu Zhang. An Improved Reversible Data Hiding for Encrypted
Stock Images Using Full Embedding Strategy.
电子学 Letters,2015, 51(9): 690-691.
[5]Di Xiao, Mimi Deng, Xinyi Zhu. A reversible image authentication scheme based on compressive sensing.Multimedia Tools and Applications,2015, 74(18): 7729-7752.
[6]肖迪,邓秘密,
张玉书基于压缩感知的鲁棒可分离的密文域水印算法,电子与信息学报, 2015, 37(5): 1248-1254.
[8] Ming Li,Di Xiao, Yushu Zhang, Hai Nan. Reversible data hiding in encrypted image using crossing division and additive homomorphism,Signal Processing: Image Communication, 2015, 39: 234-248.
[9]Hong Liu,Di Xiao*,YanbingLiu,Yushu Zhang.Securely compressive sensing using double random phase encoding,Optik, 2015, 126: 2663-2670.
发明专利
肖迪教授已申请国家发明专利3项,获权1项,包括:
- 基于压缩编码的GIF图像加密方法, ZL201210407242.3,2015
- 一种印刷品数字水印嵌入与提取装置以及方法, ZL200810232948.4, 2011
- 一种电子邮件加密收发系统, ZL200710093005.3, 2009
科研项目
[1]国家自然科学基金面上项目,61572089,安全压缩感知及其在资源非对等环境下图像隐私保护中的应用研究,自然基金委,项目负责人
[2]
重庆市科技计划项目基础科学与前沿技术研究专项重点项目,cstc2017jcyjBX0008, 资源约束环境下融合压缩感知的图像数据安全关键技术研究,重庆市科委,项目负责人
[3]国家自然科学基金重点项目,61633005,基于
大数据的航天发射系统安全性实时评估方法,自然基金委,项目主研
[4]国家重点研发计划重点专项课题,2018YFC1707502,复杂多维脉搏信号传感与智能辨识及系列智能化脉诊仪开发,2018/12-2021/12,项目主研
获奖记录
曾两次获2007年度和2013年度
重庆市自然科学
二等奖(分别排名第三、第一)、曾获2006年度
重庆大学/重庆市优秀博士学位论文奖、2009年度重庆大学优秀博士后研究成果奖。2014-2018年连续五次入选“Elsevier中国高被引学者”。
长期致力于
信息安全一线教学工作,曾获得“重庆大学
唐立新奖教金”,入选“重庆大学年度十佳优秀青年教师”,近几年所直接指导毕业的博士生、硕士生先后多人次获得“硕士生/博士生
国家奖学金”“重庆大学优秀博士论文”“重庆大学优秀硕士论文”“
重庆市优秀博士论文”“ACM中国优秀博士学位论文”“重庆市优秀硕士论文”“重庆市优秀毕业研究生”等荣誉。