A Privacy Information Recognition and Protection System based on FPGA
Authors: 
Haile Bai, Bowen Jia, Pei ZhangAuthors Info & Claims
Haile Bai, Bowen Jia, Pei ZhangAuthors Info & ClaimsPages 626 - 631
Abstract
This paper proposes a set of FPGA-based privacy identification and protection system. The system uses the convolutional neural network to identify the effective information of the pictures in the database, and then cuts and extracts the coordinates of the region. Then, the extracted effective information area is encrypted and stored by using the image encryption and compression algorithm combining chaotic system and discrete cosine transform (DCT), and the amount of data is further reduced, so that a high-security picture is obtained, which effectively protects the privacy information of users.
References
[1]
A. Goel and K. Chaudhari, "FPGA implementation of a novel technique for selective image encryption," 2016 2nd International Conference on Frontiers of Signal Processing (ICFSP), 2016, pp. 15-19.
[2]
K. Lata and S. Saini, "Hardware Software Co-Simulation of an AES-128 based Data Encryption in Image Processing Systems for the Internet of Things Environment," 2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS), 2020, pp. 260-264.
[3]
S. S. H. Shah and G. Raja, "FPGA implementation of chaotic based AES image encryption algorithm," 2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2015, pp. 574-577.
[4]
V. Muralidharan, S. Arumugham, S. Rethinam, S. Janakiraman, H. N. Upadhyay and S. Rajagopalan, "Chaos Blend DNA Coding for Image Encryption on FPGA," 2018 International Conference on Computer Communication and Informatics (ICCCI), 2018, pp. 1-6.
[5]
Y. Zhang, P. Wang, H. Huang, Y. Zhu, D. Xiao and Y. Xiang, "Privacy-Assured FogCS: Chaotic Compressive Sensing for Secure Industrial Big Image Data Processing in Fog Computing," in IEEE Transactions on Industrial Informatics, vol. 17, no. 5, pp. 3401-3411, May 2021.
[6]
H. Kim and K. Choi, "Low Power FPGA-SoC Design Techniques for CNN-based Object Detection Accelerator," 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2019, pp. 1130-1134.
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J. Mu, W. Zhang, H. Liang and S. Sinha, "A Collaborative Framework for FPGA-based CNN Design Modeling and Optimization," 2018 28th International Conference on Field Programmable Logic and Applications (FPL), 2018, pp. 139-1397.
Index Terms
- A Privacy Information Recognition and Protection System based on FPGA
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Published In
September 2022
1094 pages
ISBN:9781450397414
DOI:10.1145/3558819
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 26 October 2022
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- Refereed limited
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ICCSIE2022
ICCSIE2022: 7th International Conference on Cyber Security and Information Engineering
September 23 - 25, 2022
QLD, Brisbane, Australia
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