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Conference Paper/Proceeding/Abstract 393 views

Efficient PCA-based image compression via secure outsourcing edge cloud

Yuling Luo, Shiqi Zhang, Shunsheng Zhang, Junxiu Liu, Ce Liang, Scott Yang Orcid Logo

2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)

Swansea University Author: Scott Yang Orcid Logo

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DOI (Published version): 10.1109/hpcc-dss-smartcity-dependsys57074.2022.00242

Abstract

The increasing of image pixel size in recent years has lifted the expense for the image data storage and transmission drastically. Image compression could be one effectively solution to alleviate this difficulty. However, in some cases, the computational terminal resource is constrained and insuffic...

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Published in: 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)
Published: IEEE 2022
Online Access: http://dx.doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00242
URI: https://cronfa.swan.ac.uk/Record/cronfa63210
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first_indexed 2023-04-19T14:17:55Z
last_indexed 2023-04-20T03:23:45Z
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spelling v2 63210 2023-04-19 Efficient PCA-based image compression via secure outsourcing edge cloud 81dc663ca0e68c60908d35b1d2ec3a9b 0000-0002-6618-7483 Scott Yang Scott Yang true false 2023-04-19 SCS The increasing of image pixel size in recent years has lifted the expense for the image data storage and transmission drastically. Image compression could be one effectively solution to alleviate this difficulty. However, in some cases, the computational terminal resource is constrained and insufficient to effectively perform the image compression. An image compression based on principal component analysis (PCA) outsourcing protocol is proposed in this paper to handle such problems. The abundant computing resources of the edge cloud are used to perform the image compression effectively that the terminal cannot. The image is encrypted and sent to the cloud by terminal. The encrypted matrix is directly calculated by the cloud and the computational result is returned to the terminal. After the result is received by the terminal, the correctness of the result is verified. The result will be decrypted if it passed the verification. Otherwise, the result is returned to the edge cloud for recalculation. According to a series of comprehensive performance analysis, the proposed protocol can substantially improve the efficiency of local computation, also guarantee the privacy of the terminal and correctness of the results. Conference Paper/Proceeding/Abstract 2022 IEEE 24th Int Conf on High Performance Computing &amp; Communications; 8th Int Conf on Data Science &amp; Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud &amp; Big Data Systems &amp; Application (HPCC/DSS/SmartCity/DependSys) IEEE 1 12 2022 2022-12-01 10.1109/hpcc-dss-smartcity-dependsys57074.2022.00242 http://dx.doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00242 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University This research was supported by the National Natural Science Foundation of China under Grant 61801131, Guangxi Natural Science Foundation under Grant 2022GXNSFAA035632, research fund of Guangxi Normal University under Grant 2021JC006, and the AI+Education research project of Guangxi Humanities Society Science Development Research Center under Grant ZXZJ202205. 2023-10-16T12:12:39.1932519 2023-04-19T15:15:53.8781354 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Yuling Luo 1 Shiqi Zhang 2 Shunsheng Zhang 3 Junxiu Liu 4 Ce Liang 5 Scott Yang 0000-0002-6618-7483 6
title Efficient PCA-based image compression via secure outsourcing edge cloud
spellingShingle Efficient PCA-based image compression via secure outsourcing edge cloud
Scott Yang
title_short Efficient PCA-based image compression via secure outsourcing edge cloud
title_full Efficient PCA-based image compression via secure outsourcing edge cloud
title_fullStr Efficient PCA-based image compression via secure outsourcing edge cloud
title_full_unstemmed Efficient PCA-based image compression via secure outsourcing edge cloud
title_sort Efficient PCA-based image compression via secure outsourcing edge cloud
author_id_str_mv 81dc663ca0e68c60908d35b1d2ec3a9b
author_id_fullname_str_mv 81dc663ca0e68c60908d35b1d2ec3a9b_***_Scott Yang
author Scott Yang
author2 Yuling Luo
Shiqi Zhang
Shunsheng Zhang
Junxiu Liu
Ce Liang
Scott Yang
format Conference Paper/Proceeding/Abstract
container_title 2022 IEEE 24th Int Conf on High Performance Computing &amp; Communications; 8th Int Conf on Data Science &amp; Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud &amp; Big Data Systems &amp; Application (HPCC/DSS/SmartCity/DependSys)
publishDate 2022
institution Swansea University
doi_str_mv 10.1109/hpcc-dss-smartcity-dependsys57074.2022.00242
publisher IEEE
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
url http://dx.doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00242
document_store_str 0
active_str 0
description The increasing of image pixel size in recent years has lifted the expense for the image data storage and transmission drastically. Image compression could be one effectively solution to alleviate this difficulty. However, in some cases, the computational terminal resource is constrained and insufficient to effectively perform the image compression. An image compression based on principal component analysis (PCA) outsourcing protocol is proposed in this paper to handle such problems. The abundant computing resources of the edge cloud are used to perform the image compression effectively that the terminal cannot. The image is encrypted and sent to the cloud by terminal. The encrypted matrix is directly calculated by the cloud and the computational result is returned to the terminal. After the result is received by the terminal, the correctness of the result is verified. The result will be decrypted if it passed the verification. Otherwise, the result is returned to the edge cloud for recalculation. According to a series of comprehensive performance analysis, the proposed protocol can substantially improve the efficiency of local computation, also guarantee the privacy of the terminal and correctness of the results.
published_date 2022-12-01T12:12:40Z
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score 11.012678

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