Double Security Level Protection Based on Chaotic Maps and SVD for Medical Images
The widespread distribution of medical images in smart healthcare systems will cause privacy concerns. The unauthorized sharing of decrypted medical images remains uncontrollable, though image encryption can discourage privacy disclosure. This research proposes a double-level security scheme for med...
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MDPI AG
2025-01-01
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| Series: | Mathematics |
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| author | Conghuan Ye Shenglong Tan Jun Wang Li Shi Qiankun Zuo Bing Xiong |
| author_facet | Conghuan Ye Shenglong Tan Jun Wang Li Shi Qiankun Zuo Bing Xiong |
| author_sort | Conghuan Ye |
| collection | DOAJ |
| description | The widespread distribution of medical images in smart healthcare systems will cause privacy concerns. The unauthorized sharing of decrypted medical images remains uncontrollable, though image encryption can discourage privacy disclosure. This research proposes a double-level security scheme for medical images to overcome this problem. The proposed joint encryption and watermarking scheme is based on singular-value decomposition (SVD) and chaotic maps. First, three different random sequences are used to encrypt the LL subband in the discrete wavelet transform (DWT) domain; then, HL and LH sub-bands are embedded with watermark information; in the end, we obtain the watermarked and encrypted image with the inverse DWT (IDWT) transform. In this study, SVD is used for watermarking and encryption in the DWT domain. The main originality is that decryption and watermark extraction can be performed separately. Experimental results demonstrate the superiority of the proposed method in key spaces (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mn>10</mn><mn>225</mn></msup></semantics></math></inline-formula>), PSNR (76.2543), and UACI (0.3329). In this implementation, the following key achievements are attained. First, our scheme can meet requests of different security levels. Second, encryption and watermarking can be performed separately. Third, the watermark can be detected in the encrypted domain. Thus, experiment results and security analysis demonstrate the effectiveness of the proposed scheme. |
| format | Article |
| id | doaj-art-987d112615b94f759c8c31e4dfba6eac |
| institution | Kabale University |
| issn | 2227-7390 |
| language | English |
| publishDate | 2025-01-01 |
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| spelling | doaj-art-987d112615b94f759c8c31e4dfba6eac2025-01-24T13:39:39ZengMDPI AGMathematics2227-73902025-01-0113218210.3390/math13020182Double Security Level Protection Based on Chaotic Maps and SVD for Medical ImagesConghuan Ye0Shenglong Tan1Jun Wang2Li Shi3Qiankun Zuo4Bing Xiong5School of Information Engineering, Hubei University of Economics, Wuhan 430205, ChinaSchool of Information Engineering, Hubei University of Economics, Wuhan 430205, ChinaSchool of Information Engineering, Hubei University of Economics, Wuhan 430205, ChinaSchool of Information Engineering, Hubei University of Economics, Wuhan 430205, ChinaSchool of Information Engineering, Hubei University of Economics, Wuhan 430205, ChinaSchool of Computer and Communication Engineering, Changsha University of Science & Technology, Changsha 410114, ChinaThe widespread distribution of medical images in smart healthcare systems will cause privacy concerns. The unauthorized sharing of decrypted medical images remains uncontrollable, though image encryption can discourage privacy disclosure. This research proposes a double-level security scheme for medical images to overcome this problem. The proposed joint encryption and watermarking scheme is based on singular-value decomposition (SVD) and chaotic maps. First, three different random sequences are used to encrypt the LL subband in the discrete wavelet transform (DWT) domain; then, HL and LH sub-bands are embedded with watermark information; in the end, we obtain the watermarked and encrypted image with the inverse DWT (IDWT) transform. In this study, SVD is used for watermarking and encryption in the DWT domain. The main originality is that decryption and watermark extraction can be performed separately. Experimental results demonstrate the superiority of the proposed method in key spaces (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mn>10</mn><mn>225</mn></msup></semantics></math></inline-formula>), PSNR (76.2543), and UACI (0.3329). In this implementation, the following key achievements are attained. First, our scheme can meet requests of different security levels. Second, encryption and watermarking can be performed separately. Third, the watermark can be detected in the encrypted domain. Thus, experiment results and security analysis demonstrate the effectiveness of the proposed scheme.https://www.mdpi.com/2227-7390/13/2/182smart healthcare systemmedical image securityjoint encryption and watermarkingchaotic neural networkprivacy protection |
| spellingShingle | Conghuan Ye Shenglong Tan Jun Wang Li Shi Qiankun Zuo Bing Xiong Double Security Level Protection Based on Chaotic Maps and SVD for Medical Images Mathematics smart healthcare system medical image security joint encryption and watermarking chaotic neural network privacy protection |
| title | Double Security Level Protection Based on Chaotic Maps and SVD for Medical Images |
| title_full | Double Security Level Protection Based on Chaotic Maps and SVD for Medical Images |
| title_fullStr | Double Security Level Protection Based on Chaotic Maps and SVD for Medical Images |
| title_full_unstemmed | Double Security Level Protection Based on Chaotic Maps and SVD for Medical Images |
| title_short | Double Security Level Protection Based on Chaotic Maps and SVD for Medical Images |
| title_sort | double security level protection based on chaotic maps and svd for medical images |
| topic | smart healthcare system medical image security joint encryption and watermarking chaotic neural network privacy protection |
| url | https://www.mdpi.com/2227-7390/13/2/182 |
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