Fuzzy Logic-based Steganographic Scheme for high Payload Capacity with high Imperceptibility

Author:

Théophile Ingororano1,De La Croix Ntivuguruzwa Jean2,Ahmad Tohari2

Affiliation:

1. Yeungnam University,Department of Computer Engineering,Gyeongsan,South Korea

2. Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia

Publisher

IEEE

Reference18 articles.

1. Image Steganography Using Fuzzy Logic and Chaotic for Large Payload and High Imperceptibility

2. Internet of Things based Controlled Environment for the Production of Shiitake Mushroom

3. Computerized Steganographic Technique using Fuzzy Logic

4. Secret Message Protection using Fuzzy Logic and Difference Expansion in Digital Images

5. Fuzzy inference-based prediction model for an IoT based water and pasture localization for pastoralists;ntivuguruzwa;International Journal of Research in Engineering and Applied Sciences (IJREAS),2021

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1. A Steganographic Approach to Secure Data Using Pairs-Based Difference Expansion;2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN);2023-12-22

2. A Steganographic Scheme to Protect Medical Data Using Radiological Images;2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN);2023-12-22

3. A Reversible Data Hiding Approach in Medical Images Using Difference Expansion;2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN);2023-12-22

4. Convolutional Neural Network with Multi-scale Pooling for the Efficient Steganalysis in Images of Arbitrary Sizes;2023 14th International Conference on Information & Communication Technology and System (ICTS);2023-10-04

5. Enhancing Secret Data Detection Using Convolutional Neural Networks With Fuzzy Edge Detection;IEEE Access;2023

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