Visual data security and management for smart
cities

doi:10.1007/s11704-010-0378-7

Front. Comput. Sci.

2010, Vol. 4

Issue (3) : 386-393 https://doi.org/10.1007/s11704-010-0378-7

Research articles

Visual data security and management for smart cities

Zhenyong CHEN,Wei FAN,Zhang XIONG,Pingan ZHANG,Lixin LUO,

School of Computer Science and Engineering, Beihang University, Beijing 100191, China;

Download: PDF(242 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract This paper proposes a method to manage and utilize image and video data effectively in a smart city. Applying digital watermarking techniques, a framework for visual data security and management for smart cities is presented. In the framework, a reversible fragile or semi-fragile watermark embedded into the visual data is used to ensure trusted acquisition. Moreover, reversible metadata watermarks carrying information such as identification and other properties data is used to assist visual data management. A solution for tracing users on a large scale is presented using reversible watermarking.

Keywords smart city metropolis dynamic data center data vitalization data security and management reversible watermarking

Issue Date: 05 September 2010

Cite this article:

Zhenyong CHEN,Zhang XIONG,Lixin LUO, et al. Visual data security and management for smart cities[J]. Front. Comput. Sci., 2010, 4(3): 386-393.

URL:

https://academic.hep.com.cn/fcs/EN/10.1007/s11704-010-0378-7
https://academic.hep.com.cn/fcs/EN/Y2010/V4/I3/386

	, accessed Mar. 10, 2010en.wikipedia.org/wiki/Smart_city, accessed Mar. 10, 2010
	Collins J P. Sailing on an ocean of 0s and 1s. Science, 2010, 327(5972): 1455–1456 doi: 10.1126/science.1186123
	Nielsen M. A guide to the day of big data. Nature, 2009, 462(7274): 722–723 doi: 10.1038/462722a
	Hey T, Tansley S, Tolle K, eds. The Fourth Paradigm:Data-Intensive Scientific Discovery. Microsoft Research, 2009
	Xiong Z. Vitalization of the data. In: Proceedings of Workshop on Intelligent Storages for Extremely Large Datasets, Shenzhen, China, 2009
	Al-Hader M, Rodzi A, Sharif A R, Ahmad N. Smart city components architecture. In: Proceedings of International Conference on Computational Intelligence, Modelling and Simulation,Brno, Czech Republic, 2009, 93–97
	Al-Hader M, Rodzi A, Sharif A R, Ahmad N. Soa of smart city geospatial management. In: Proceedings of The 3rd UKSim European Symposium on Computer Modeling and Simulation,Athens, Greece, 2009, 6–10
	Klein C, Kaefer G. From smart homes to smart cities: opportunities and challenges from anindustrial perspective. In: Next Generation Teletraffic and Wired/Wireless Advanced Networking Proceedings, 2008, 5174: 260
	en.wikipedia.org/wiki/Digital_watermarking, accessed Mar. 12, 2010

	Luo L X, Chen Z Y, Chen M, Zeng X, Xiong Z. Reversible image watermarkingusing interpolation technique. IEEE Transactions on Information Forensics and Security, 2010, 5(1): 187–193 doi: 10.1109/TIFS.2009.2035975
	Chen M, Chen Z Y, Zeng X, Xiong Z. Reversible data hiding using additive prediction-error expansion. In: Proceedings of ACM Workshop on Multimedia and Security, Princeton,NJ, 2009, 16–21
	Chen M, Chen Z Y, Zeng X, Xiong Z. Reversible image watermarking with full context prediction. In: Proceedings of IEEE International Conference on Image Processing, Cairo, Egypt, 2009, 4253–4256
	Zeng X, Chen Z Y, Chen H, Zhang S, Xiong Z. Drift compensation in compressedvideo reversible watermarking. In: Proceedings of World Congress on Computer Science and Information Engineering,Los Angeles, California USA, 2009, 7: 271–275
	Tai S, Wang C, Yu C. Digital watermarking for image ownership protection oninternet. Journal of Internet Technology, 2002, 3(3): 193–200
	Zhu B B, Swanson M D, Tewfik A H. When seeing isn’t believing. IEEE Signal Processing Magazine, 2004, 21(2): 40–49 doi: 10.1109/MSP.2004.1276112
	Li C T. Digital fragile watermarking scheme for authenticationof jpeg images. In: IEEE Proceedings on Vision, Image, and Signal Processing, 2004, 151(6): 460–466
	Chen H, Chen Z Y, Zeng X, Fan W, Xiong Z. A novel reversible semi-fragile watermarking algorithm of mpeg-4 video for content authentication. In: Proceedings of IEEE International Symposium on IntelligentInformation Technology Application, Shanghai, China, 2008
	Fotopoulos V, Stavrinou M L, Skodras A N. Medical image authentication and self-correction through an adaptive reversible watermarking technique. In: Proceedings of IEEE International Conferenceon BioInformatics and BioEngineering, 2008, 1–5
	Zabulis X, Orphanoudakis S C. State-of-the-art in content-based image and video retrieval. In: Veltkamp R C, Burkhardt H, Kriegel H P, eds. State-of-the-Art in Content-Based Image and Video Retrieval, 2001, 1–20
	Jiang L. Content Based Hepatic-CT Image Retrieval using Grid and Watermarking. PhD thesis, Shanghai Jiaotong University, 2009

[1]	Zhiyong YU, Xiangping ZHENG, Fangwan HUANG, Wenzhong GUO, Lin SUN, Zhiwen YU. A framework based on sparse representation model for time series prediction in smart city[J]. Front. Comput. Sci., 2021, 15(1): 151305-.
[2]	Wei FAN, Zhengyong CHEN, Zhang XIONG, Hui CHEN. The Internet of data: a new idea to extend the IOT in the digital world[J]. Front Comput Sci, 2012, 6(6): 660-667.
[3]	Biao LENG, Zhang XIONG, Xiangwei FU, . A 3D shape retrieval framework for 3D smart cities[J]. Front. Comput. Sci., 2010, 4(3): 394-404.

Viewed

Full text

Abstract

Cited

Shared

Discussed