Scrambling-embedding in partially-encrypted mages

Ng, Koi Yee and Ong, Simying (2022) Scrambling-embedding in partially-encrypted mages. In: Proceedings Of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 7-10 November 2022, Thailand.

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Abstract

In this paper, an improved scrambling-embedding technique, namely row-rotational-based data hiding method is proposed to hide data in partially-encrypted images. The partially-encrypted images are generated by performing bit-wise XOR-cipher to investigate the feasibility of applying the proposed method in various encryption levels. The proposed method is performed by divided each row into multiple non-overlapping continuous partitions. These partitions will be arranged in a rotational manner to create different states, while each state will be used to represent specific data in binary representation. During the decoding process, alpha notation is introduced to reduce the number of failure rows, which will cause further image degradation and incorrect data extraction. The BSDS300 dataset is utilized for experiments, and encrypted with different encryption strengths. From the experiment results, it is observed that when least significant bits are encrypted, the proposed data hiding method using scrambling-embedding technique can still performed well as in the plain image domain.

Item Type: Conference or Workshop Item (Paper)
Funders: Fundamental Research Grant Scheme (FRGS) MoHE Grant - Malaysia Government [Grant No: FRGS/1/2019/ICT02/UM/02/1 ; FP053-2019A]
Additional Information: 14th Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA ASC), Chiang Mai, THAILAND, NOV 07-10, 2022
Uncontrolled Keywords: Computer science; Scrambling-embedding technique; Partially-encrypted images
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 03 Nov 2025 13:04
Last Modified: 03 Nov 2025 13:04
URI: http://eprints.um.edu.my/id/eprint/40480

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