TY - GEN
T1 - Performance Evaluation and Proposed Enhancement of latest Image Watermarking Schemes against specific forgery attacks
AU - AlHassan, Adnan Nadeem
AU - Ashraf, Muhammad
AU - Mehmood, Amir
AU - Almoamari, Hani
AU - Alqahtany, Saad Said
AU - Sarim, Muhammad
AU - Abbasi, Qammer H.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Detection. Watermarking techniques can be classified based on various criteria, such as visibility, fragility, application domain, and extraction methods. However, their performance degrades against certain forgery attacks due to specific algorithmic loopholes. To deal with this issue, an in-depth performance evaluation and gap analysis of the latest invisible image watermarking schemes is presented in this paper. Then we propose an enhancement in terms of defining and using secret keys for the process of watermarking to improve temper detection and its localization against forgery attacks. First comprehensive testing is conducted regarding the imperceptibility and temper detection capability of these watermarking schemes against copypaste, object deletion, text addition, and collage attacks. This testing results in finding the security weaknesses against collage attacks. Finally, we implemented the proposed enhancement and illustrated improved results up-to 99% in terms of localizing forgery detection in certain scenarios of collage attacks enhancement.
AB - Detection. Watermarking techniques can be classified based on various criteria, such as visibility, fragility, application domain, and extraction methods. However, their performance degrades against certain forgery attacks due to specific algorithmic loopholes. To deal with this issue, an in-depth performance evaluation and gap analysis of the latest invisible image watermarking schemes is presented in this paper. Then we propose an enhancement in terms of defining and using secret keys for the process of watermarking to improve temper detection and its localization against forgery attacks. First comprehensive testing is conducted regarding the imperceptibility and temper detection capability of these watermarking schemes against copypaste, object deletion, text addition, and collage attacks. This testing results in finding the security weaknesses against collage attacks. Finally, we implemented the proposed enhancement and illustrated improved results up-to 99% in terms of localizing forgery detection in certain scenarios of collage attacks enhancement.
KW - Forgery attacks
KW - image watermarking
KW - localization
KW - performance evaluation and enhancement
KW - temper detection
UR - https://www.scopus.com/pages/publications/85217436037
U2 - 10.1109/NETAPPS63333.2024.10823404
DO - 10.1109/NETAPPS63333.2024.10823404
M3 - Conference contribution
AN - SCOPUS:85217436037
T3 - 2024 7th International Conference on Internet Applications, Protocols, and Services, NETAPPS 2024
BT - 2024 7th International Conference on Internet Applications, Protocols, and Services, NETAPPS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Internet Applications, Protocols, and Services, NETAPPS 2024
Y2 - 6 November 2024 through 7 November 2024
ER -