Privacy-assured FogCS: chaotic compressive sensing for secure industrial big image data processing in fog computing Zhang, Yushu, Wang, Ping, Huang, Hui, Zhu, Youwen, Xiao, Di and Xiang, Yong 2021, Privacy-assured FogCS: chaotic compressive sensing for secure industrial big image data processing in fog computing, IEEE transactions on industrial informatics, vol. 17, no. 5, pp. 3401-3411, doi: 10.1109/tii.2020.3008914. Attached Files Name Description MIMEType Size Downloads Title Privacy-assured FogCS: chaotic compressive sensing for secure industrial big image data processing in fog computing Author(s) Zhang, Yushu Wang, Ping Huang, Hui Zhu, Youwen Xiao, Di Xiang, Yong orcid.org/0000-0003-3545-7863 Journal name IEEE transactions on industrial informatics Volume number 17 Issue number 5 Start page 3401 End page 3411 Total pages 11 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Publication date 2021-05 ISSN 1551-3203 1941-0050 Keyword(s) chaotic compressive sensing (CS) field programmable gate array (FPGA fog computing industrial big image data sine logistic modulation map (SLMM) Language eng DOI 10.1109/tii.2020.3008914 Indigenous content off Field of Research 08 Information and Computing Sciences 09 Engineering 10 Technology HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30146333 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 21 Dec 2020, 15:58:09 EST Tue, 22 Dec 2020, 04:00:49 EST Tue, 29 Dec 2020, 15:20:44 EST Wed, 06 Jan 2021, 09:46:51 EST Tue, 19 Jan 2021, 05:06:10 EST Fri, 26 Feb 2021, 14:21:20 EST Fri, 26 Feb 2021, 14:23:41 EST Fri, 26 Feb 2021, 14:24:31 EST Sat, 20 Mar 2021, 01:34:14 EST Sat, 27 Mar 2021, 01:30:58 EST Filtered Full Citation counts:   Cited 19 times in TR Web of Science Cited 17 times in Scopus Search Google Scholar Access Statistics: 143 Abstract Views, 5 File Downloads  -  Detailed Statistics Created: Wed, 06 Jan 2021, 09:46:51 EST