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栗风永

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姓名: 栗风永性别: 男
学历: 博士研究生职称:  副教授
电话:Email:fyli@shiep.edu.cn
系所:信息安全系办公地址:

个人简介:栗风永,男,博士,副教授,硕士生导师。2014年毕业于上海大学通信与信息工程学院,获工学博士学位,现任上海电力大学计算机科学与技术学院副教授。20188月至20198月在加拿大维多利亚大学计算机系做访问学者。主要研究方向为多媒体信息安全、信息隐藏、机器学习等。主持包括国家自然科学基金青年项目、通用技术联合基金子项目、上海市自然科学基金等在内的多项国家及省部级课题。获上海市科技进步奖1项。先后在IEEE Transactions on Information Forensics and SecurityIEEE Signal Processing LettersIEEE Transactions on Cloud Computing、电子与信息学报、中国图象图形学报、ARES2015IEEE INFOCOM等国内外著名学术期刊和会议上发表论文40余篇,其中SCI检索22篇(一作/通信13篇),申请发明专利3项。


教育背景:

2018.08 - 2019.08University of Victoria (维多利亚大学),访问学者

2010.09 - 2014.04,上海大学,导师:张新鹏,信号与信息处理,博士

2007.09 - 2010.07,郑州大学,导师:徐江峰,计算机应用技术,硕士

2003.09 – 2007.07,信息工程大学,信息安全,学士


学术兼职(期刊审稿人):

IEEE Transactions on Information Forensics & Security

IEEE Transactions on Circuits and Systems for Video Technology

IEEE Transactions on Signal and Information Processing over Networks

IEEE Signal Processing Letters

IEEE Access

KSII Transactions on Internet and Information Systems

Peer-to-Peer Networking and Applications

Security and Communication Networks

Multimedia Tools and Applications

Neurocomputing

Mathematical Biosciences and Engineering


研究方向:

多媒体信息安全、信息隐藏、机器学习

主讲课程:


研究生课程:算法设计与分析

本科生课程:高级程序设计C++C语言程序设计,信息隐藏


科研成果:

代表性期刊论文

1. Fengyong Li, Jiang Yu, and Yanli Ren, Data-loss resilience video steganography using frame reference and data ensemble reconstruction. Mathematical Biosciences and Engineering, 16(5):4559-4580, 2019. (SCI)

2. Haibin Wu, Fengyong Li (Corresponding Author), Chuan Qin, and Weimin Wei, Separable reversible data hiding in encrypted images based on scalable blocks. Multimedia Tools and Applications, 78:2534925372, May, 2019. (SCI, EI, CCF推荐C)

3. Fengyong Li, Gang Zhou, and Jingsheng Lei, Reliable data transmission in wireless sensor networks with data decomposition and ensemble recovery. Mathematical Biosciences and Engineering, 16(5):4526-4545, 2019. (SCI)

4. Fengyong Li, Haibin Wu, Gang Zhou, and Weimin Wei, Robust real-time image encryption with aperiodic chaotic map and random-cycling bit shift. Journal of Real-Time Image Processing, 16(3):775-790, 2019. (SCI, EI)

5. Fengyong Li, Kui Wu, Xinpeng Zhang, Jiang Yu, Jingsheng Lei, and Mi Wen, Robust batch steganography in social networks with non-uniform payload and data decomposition. IEEE Access, 6: 29912-29925, 2018. (SCI, EI)

6. Fengyong Li, Kui Wu, Xinpeng Zhang, Jingsheng Lei, and Mi Wen, Multi-source stego detection with low-dimensional textural feature and clustering ensembles. Symmetry10(5): 128, 2018. (SCI)

7. Fengyong Li, Mi Wen, Jingsheng Lei, and Yanli Ren, Efficient steganographer detection over social networks with sampling reconstruction. Peer-to-Peer Networking and Applications, 11(5): 924-939, Sept. 2018. (SCI, EI, CCF推荐C)

8. Fengyong Li, Kui Wu, Jingsheng Lei, Mi Wen, and Yanli Ren, Unsupervised steganalysis over social networks based on multi-reference sub-image sets. Multimedia Tools and Applications, 77 (14):17953-17971, 2018. (SCI, EI, CCF推荐C)

9. Fengyong Li, Kui Wu, Jingsheng Lei, Mi Wen, Zhongqin Bi, Chunhua Gu, Steganalysis over large-scale social networks with high-order joint features and clustering ensembles.IEEE Transactions on Information Forensics and Security, 11(2): 344-357, 2016. (SCI, EI, CCF推荐A)

10. Fengyong Li, Xinpeng Zhang, Hang Cheng, and Jiang Yu, Digital image steganalysis based on local textural features and double dimensionality reduction. Security and Communication Networks, 9(8):729-736, 2016. (SCI, EI, CCF推荐C)

11. Fengyong Li, Weimin Wei, Encrypted image retrieval with scalable color histograms. Journal of Internet Technology, 17(1):147-156, 2016. (SCI, EI)

12. Fengyong Li, Xinpeng Zhang, Jiang Yu, and Wenfeng Shen, Adaptive JPEG steganography with new distortion function. Annals of Telecommunications - annales des telecommunications, 69, pp.431-440, 2014. (SCI, EI)

13. Fengyong Li, Xinpeng Zhang, Bin Chen, and Guorui Feng, JPEG steganalysis with high- dimensional features and Bayesian ensemble classifier, IEEE Signal Processing Letters, 20(3), pp.233-236, 2013. (SCI, EI)

14. Jinguo Li, Mi Wen, Kui Wu, Kejie Lu, Fengyong Li, and Hongjiao Li, Secure, flexible and high-efficient similarity search over encrypted data in multiple clouds. Peer-to-Peer Networking and Applications, 12(4), pp.893-911, 2019. (SCI, EI, CCF推荐C)

15. Jingsheng Lei, Wenbin Shi, Zhichao Lei, and Fengyong Li, Efficient power component identification with long short-term memory and deep neural network, EURASIP Journal on Image and Video Processing, 2018, 2018:122.(SCI, EI)

16. Jingsheng Lei, Ting Jin, Jiawei Hao, and Fengyong Li, Short-term load forecasting with clustering-regression model in distributed cluster, Cluster Computing, 117: 42-51, Apr. 2017. (SCI, EI)

17. Yanli Ren, Xinpeng Zhang, Guorui Feng, Zhenxing Qian, and Fengyong Li, How to extract image features based on co-occurrence matrix securely and efficiently in cloud computing, IEEE Transactions on Cloud Computing, to appear, 2017. DOI: 10.1109/TCC.2017.2737980. (SCI, EI)

18. Guoming Tang, Zhen Ling, Fengyong Li, Daquan Tang, and Jiuyang Tang, Occupancy-aided energy disaggregation, Computer Networks, 117: 42-51, 2017. (SCI, EI)

19. Jiang Yu, Fengyong Li, Hang Cheng, Xinpeng Zhang, Spatial steganalysis with contrast of residuals, IEEE Signal Processing Letters, 23(7), pp.989-992, 2016. (SCI, EI)

20. Hang Cheng, Xinpeng Zhang, Jiang Yu, and Fengyong Li, Markov process-based retrieval for encrypted JPEG images. EURASIP Journal on Information Security, 2016(1): 1-9. (EI, CCF推荐C)

21. Jiang Yu, Xinpeng Zhang, and Fengyong Li, Spatial steganalysis using redistributed residuals and diverse ensemble classifier, Multimedia Tools and Applications, 75(21): 13613-13625, 2016. (SCI, EI, CCF推荐C)

22. Bin Chen, Guorui Feng, Xinpeng Zhang, and Fengyong Li, Mixing high-dimensional features for JPEG steganalysis with ensemble classifier, Signal, Image and Video Processing, 8(8): 1475-1482, 2014. (SCI, EI)

23. 栗风永,李晋国,基于分块旋转的加密图像可逆信息隐藏算法,上海电力学院学报,34(1): 46-52, 2018.

24. 栗风永,张新鹏,结合通道共生和选择集成的彩色图像隐写分析,中国图象图形学报,20(5), pp. 0609-0617, 2015.

25. 栗风永,张新鹏,余江,结合集成比例训练的彩色JPEG图像隐写分析,电子与信息学报,36(1), pp.114-120, 2014. (EI)

 

 

代表性会议论文

1. Fengyong Li, Mingquan Xin, Jinguo Li, and Jiang Yu, Improved detection for copy-move forgery with multi-scale sliding windows, Proceedings of IEEE International Symposium on Intelligent Signal Processing and Communication Systems 2017 (ISPACS 2017), November 6-9, 2017, Xiamen, China, pp.231-236.

2. Jiang Yu, Wen Si, and Fengyong Li, Reversible data hiding in encrypted images with auxiliary syndrome, Proceedings of IEEE International Symposium on Intelligent Signal Processing and Communication Systems 2017 (ISPACS 2017), November 6-9, 2017, Xiamen, China, pp.237-241.

3. Hang Cheng, Xinpeng Zhang, Jiang Yu, and Fengyong Li, Markov process based retrieval for encrypted JPEG images. Proceedings of 10th International Conference on Availability, Reliability and Security (ARES), Aug. 24-27, Toulouse, France, 2015, pp.417-421.

4. Mi Wen, Kejie Lu, Jingsheng Lei, Fengyong Li, Jing Li, BDO-SD: An efficient scheme for big data outsourcing with secure deduplication, Proceedings of 34th IEEE International Conference on Computer Communications (IEEE INFOCOM 2015), Workshop on BigData Security (BigSecurity), Apr. 26-30, Hong kong, 2015, pp.214-219.

5. Fengyong Li, Liu Shi, Xinpeng Zhang, and Yuejun Chen, Data Embedding with Multi-ary Tree Coding, Proceedings of the 2011 International Conference on Multimedia Technology (ICMT 2011), July 26-28, 2011, pp. 267-270, Hangzhou, China.

 

专利:

1. 吴海斌,栗风永,周刚,魏为民,李晋国,一种基于四叉树动态块分割的加密图像可逆信息隐藏方法,申请号:201910156059.2,申请日期:20190301

2. 余江,张新鹏,栗风永,王朔中,程航,基于校验码的加密域无损可逆信息隐藏方法,专利号:ZL201310198542.X,授权日期:2016525

3. 施柳,栗风永,张新鹏,钱振兴,王朔中,机密信息的游动编码隐藏方法,专利号:ZL201110171393.9 ,授权日期:2015225


科研项目:


1. 面向大规模数字图像的安全外包隐写分析,国家自然科学基金通用技术联合基金(子项目),2018.1~2020.12,编号:U1736120,主持

2. 基于低维特征构造及无监督分类的网络图像隐写分析,国家自然科学基金青年基金,2017.1~2019.12,编号:61602295,主持

3. 低维特征空间下的数字图像隐写分析研究,上海市自然科学基金,2016.7~2019.6,编号:16ZR1413100,主持

4. 优化广义率失真性能的安全隐写研究,上海高校青年教师培养资助计划,2015.3~2017.12,编号:ZZsdl15105,主持

5. 基于显著特征和数据压缩的图像摘要关键技术研究,国家自然科学基金青年基金,2019 ~ 2021,编号:61802250,参与

6. 面向多网融合的智能用电感知互动服务关键技术,国家自然科学基金面上项目,2017 ~ 2020,编号:61672337,参与

7. 基于深度信念网络的图像隐写分析,国家自然科学基金面上项目,2014 ~ 2017,编号:61373151,参与

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