Evaluation of spiral pattern watermarking scheme for common attacks to social media images

The 21st century might be considered the "boom" period for social networking due to the fast expansion of social media use. In terms of user privacy and security regulations, a plethora of new requirements, issues, and concerns have arisen due to the proliferation of social media. With the...

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Main Authors: Tiew, Boon Li, Jasni, Mohamad Zain, Syifak, Izhar Hisham, Alya Afikah, Usop
Format: Article
Language:English
Published: The Science and Information (SAI) Organization Limited 2022
Subjects:
Online Access:https://umpir.ump.edu.my/id/eprint/45722/
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author Tiew, Boon Li
Jasni, Mohamad Zain
Syifak, Izhar Hisham
Alya Afikah, Usop
author_facet Tiew, Boon Li
Jasni, Mohamad Zain
Syifak, Izhar Hisham
Alya Afikah, Usop
author_sort Tiew, Boon Li
building UMP Institutional Repository
collection Online Access
description The 21st century might be considered the "boom" period for social networking due to the fast expansion of social media use. In terms of user privacy and security regulations, a plethora of new requirements, issues, and concerns have arisen due to the proliferation of social media. With the increase in social media use, images on social media are often modified or fabricated for certain purposes. Therefore, this work implements and evaluates the SPIRAL-LSB algorithm for common attacks for social media images. Image compression was also discussed as images published to social media platforms was often compressed. An analysis was performed to assess the algorithm's output on social media images. The experiments were carried out prior to and after uploading to the Instagram platform. The dataset was subjected to image splicing, copy-move, cut-and-paste, text insertion, and 3D-sticker insertion attacks. The outcome of SPIRAL-LSB was effective for text insertion attacks solely. Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) were selected as the experiment's metrics. The average PSNR value is 63.25, and the SSIM value is 0.99964, both of which are regarded high. This indicates that the watermark has not degraded the quality of the images. This work was designed for usage on social media for intellectual property reasons and may be used to validate the validity of social media images and prevent issues with image integrity, such as image manipulation.
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spelling ump-457222025-09-25T04:38:49Z https://umpir.ump.edu.my/id/eprint/45722/ Evaluation of spiral pattern watermarking scheme for common attacks to social media images Tiew, Boon Li Jasni, Mohamad Zain Syifak, Izhar Hisham Alya Afikah, Usop QA75 Electronic computers. Computer science The 21st century might be considered the "boom" period for social networking due to the fast expansion of social media use. In terms of user privacy and security regulations, a plethora of new requirements, issues, and concerns have arisen due to the proliferation of social media. With the increase in social media use, images on social media are often modified or fabricated for certain purposes. Therefore, this work implements and evaluates the SPIRAL-LSB algorithm for common attacks for social media images. Image compression was also discussed as images published to social media platforms was often compressed. An analysis was performed to assess the algorithm's output on social media images. The experiments were carried out prior to and after uploading to the Instagram platform. The dataset was subjected to image splicing, copy-move, cut-and-paste, text insertion, and 3D-sticker insertion attacks. The outcome of SPIRAL-LSB was effective for text insertion attacks solely. Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) were selected as the experiment's metrics. The average PSNR value is 63.25, and the SSIM value is 0.99964, both of which are regarded high. This indicates that the watermark has not degraded the quality of the images. This work was designed for usage on social media for intellectual property reasons and may be used to validate the validity of social media images and prevent issues with image integrity, such as image manipulation. The Science and Information (SAI) Organization Limited 2022 Article PeerReviewed pdf en cc_by_4 https://umpir.ump.edu.my/id/eprint/45722/1/Evaluation%20of%20spiral%20pattern%20watermarking%20scheme%20for%20common%20attacks.pdf Tiew, Boon Li and Jasni, Mohamad Zain and Syifak, Izhar Hisham and Alya Afikah, Usop (2022) Evaluation of spiral pattern watermarking scheme for common attacks to social media images. International Journal of Advanced Computer Science and Applications (IJACSA), 13 (8). pp. 340-349. ISSN 2158-107X ; 2156-5570(Online). (Published) https://doi.org/10.14569/IJACSA.2022.0130841 https://doi.org/10.14569/IJACSA.2022.0130841 https://doi.org/10.14569/IJACSA.2022.0130841
spellingShingle QA75 Electronic computers. Computer science
Tiew, Boon Li
Jasni, Mohamad Zain
Syifak, Izhar Hisham
Alya Afikah, Usop
Evaluation of spiral pattern watermarking scheme for common attacks to social media images
title Evaluation of spiral pattern watermarking scheme for common attacks to social media images
title_full Evaluation of spiral pattern watermarking scheme for common attacks to social media images
title_fullStr Evaluation of spiral pattern watermarking scheme for common attacks to social media images
title_full_unstemmed Evaluation of spiral pattern watermarking scheme for common attacks to social media images
title_short Evaluation of spiral pattern watermarking scheme for common attacks to social media images
title_sort evaluation of spiral pattern watermarking scheme for common attacks to social media images
topic QA75 Electronic computers. Computer science
url https://umpir.ump.edu.my/id/eprint/45722/
https://umpir.ump.edu.my/id/eprint/45722/
https://umpir.ump.edu.my/id/eprint/45722/