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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The Science and Information (SAI) Organization Limited
2022
|
| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/45722/ |
| _version_ | 1848827494350716928 |
|---|---|
| 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. |
| first_indexed | 2025-11-15T04:01:36Z |
| format | Article |
| id | ump-45722 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T04:01:36Z |
| publishDate | 2022 |
| publisher | The Science and Information (SAI) Organization Limited |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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/ |