Health Record Security Through Multiple Watermarking on Fused Medical Images

被引:18
作者
Anand, Ashima [1 ]
Singh, Amit Kumar [2 ]
机构
[1] Thapar Inst Engn & Technol, Dept Comp Sci & Engn, Patiala 147004, Punjab, India
[2] Natl Inst Technol Patna, Dept Comp Sci & Engn, Patna 800005, Bihar, India
关键词
Watermarking; Transforms; Computed tomography; Magnetic resonance imaging; Discrete wavelet transforms; Encryption; Optimization; Cloud environment; encryption; false-positive problem; image fusion; Internet of Things (IoT); security; spatial and transform domain; watermarking; INTERNET; THINGS;
D O I
10.1109/TCSS.2021.3126628
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Nowadays, there is an increasing tendency to fuse multi-modal medical image due to the high diagnostic accuracy and assessment. However, the distribution of these images and more generally, health records may bring serious copy-violation issues in healthcare applications. Further, a massive amount of electronic health records is uploaded on the cloud due to the low cost and high usability. However, outsourcing these records to the cloud may greatly increase security and privacy issues. The present article develops medical image fusion-based watermarking scheme in dual tree complex wavelet transform (DTCWT)-singular value decomposition (SVD) domain. Here, computed tomography (CT) and magnetic resonance imaging (MRI) images are partitioned into a sequence of high frequencies and low frequency by non-subsampled shearlet transform (NSST) to obtain a fused image as a carrier. To enhance the authenticity, spatial and transform domain-based embedding is conducted to conceal multi-marks into carrier image. Finally, improved encryption scheme is employed to obtain a secure marked carrier image. Objective and subjective evaluations indicate a strong robustness effect (43.64%) of the proposed algorithm compared to other methods with remarkable invisibility, payload, and security. To the best of our knowledge, studies of image fusion-based dual watermarking and encryption have not yet been developed in combination with spatial and transform domain schemes for copy protection and ownership of health records, since it is also suitable for applications in the cloud.
引用
收藏
页码:1594 / 1603
页数:10
相关论文
共 22 条
  • [1] Medical image watermarking for ownership & tamper detection
    Alshanbari, Hanan S.
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (11) : 16549 - 16564
  • [2] Compression-Then-Encryption-Based Secure Watermarking Technique for Smart Healthcare System
    Anand, Ashima
    Singh, Amit Kumar
    Lv, Zhihan
    Bhatnagar, Guarav
    [J]. IEEE MULTIMEDIA, 2020, 27 (04) : 133 - 143
  • [3] An improved DWT-SVD domain watermarking for medical information security
    Anand, Ashima
    Singh, Amit Kumar
    [J]. COMPUTER COMMUNICATIONS, 2020, 152 : 72 - 80
  • [4] DTCWT-DCT watermarking method for multimodal biometric authentication
    Bousnina, Naima
    Ghouzali, Sanaa
    Mikram, Mounia
    Abdul, Wadood
    [J]. PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON NETWORKING, INFORMATION SYSTEMS & SECURITY (NISS19), 2019,
  • [5] Personal data usage and privacy considerations in the COVID-19 global pandemic
    de Araujo, Bethania
    Doneda, Danilo
    Ichihara, Maria Yury
    Barral-Netto, Manoel
    Matta, Gustavo Correa
    Rabello, Elaine Teixeira
    Gouveia, Fabio Castro
    Barreto, Mauricio
    [J]. CIENCIA & SAUDE COLETIVA, 2020, 25 : 2487 - 2492
  • [6] Development of optimum watermarking algorithm for radiography images
    El Tokhy, Mohamed S.
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2021, 89
  • [7] Secure Medical Data Transmission Model for IoT-Based Healthcare Systems
    Elhoseny, Mohamed
    Ramirez-Gonzalez, Gustavo
    Abu-Elnasr, Osama M.
    Shawkat, Shihab A.
    Arunkumar, N.
    Farouk, Ahmed
    [J]. IEEE ACCESS, 2018, 6 : 20596 - 20608
  • [8] A Novel Image Steganography Method for Industrial Internet of Things Security
    Hassaballah, M.
    Hameed, Mohamed Abdel
    Awad, Ali Ismail
    Muhammad, Khan
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (11) : 7743 - 7751
  • [9] An efficient and robust watermarking approach based on single value decompression, multi-level DWT, and wavelet fusion with scrambled medical images
    Hemdan, Ezz El-Din
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (02) : 1749 - 1777
  • [10] A robust blind medical image watermarking approach for telemedicine applications
    Kahlessenane, Fares
    Khaldi, Amine
    Kafi, Redouane
    Euschi, Salah
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2021, 24 (03): : 2069 - 2082