Two level security for medical images using watermarking/encryption algorithms

Kannammal, A.; Rani, Shweta

doi:10.1002/ima.22086

Cited by 41 publications

(8 citation statements)

References 14 publications

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“…Using modified spread spectrum method, the retaliation of the imperceptible watermarking detector & watermark data, the zero watermarking process authenticates the patient identity. Kannammal et al [ 15 ] developed an algorithm with 2-level security with embedding and also with encryption using RSA and other algorithms. Sharma et al [ 30 ] developed a method using digital multitoning in embedding binary watermark.…”

Section: Literature Surveymentioning

confidence: 99%

Fingerprint-based robust medical image watermarking in hybrid transform

Vaidya

2022

Vis Comput

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To protect the medical images integrity, digital watermark is embedded into the medical images. A non-blind medical image watermarking scheme based on hybrid transform is propounded. In this paper, fingerprint of the patient is used as watermark for better authentication, identifying the original medical image and privacy of the patients. In this scheme, lifting wavelet transform (LWT) and discrete wavelet transform (DWT) are utilized for amplifying the watermarking algorithm. The scaling and embedding factors are calculated adaptively with the help of Local Binary Pattern values of the host medical image to achieve better imperceptibility and robustness for medical images and fingerprint watermark, respectively. Two-level decomposition is done where for the first level LWT is utilized and for the second level decomposition DWT is utilized. At the extraction side, non-blind recovery of fingerprint watermark is performed which is similar to the embedding process. The propounded design is implemented on various medical images like Chest X-ray, CT scan and so on. The propounded design provides better imperceptibility and robustness with the combination of LWT–DWT. The result analysis proves that the proposed fingerprint watermarking scheme has attained best results in terms of robustness and authentication with different medical image attacks. Peak Signal to Noise Ratio and Normalized Correlation Coefficient metrics are used for evaluating the proposed scheme. Furthermore, superior results are obtained when compared to related medical image watermarking schemes.

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Section: Literature Surveymentioning

confidence: 99%

Fingerprint-based robust medical image watermarking in hybrid transform

Vaidya

2022

Vis Comput

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“…In the following passages, various levels of protection methods based on watermarking algorithms with cryptography techniques will be disscussed. Kannammal and Rani suggested a scheme to protect medical images using watermarking embedded by LSB and discrete wavelet transform (DWT) and to encrypt the watermarked image by using three algorithms (AES, RSA, and RC4) to provide two-level security (47). Additionally, Al-Haj described the use of LSB, DWT, and singular value decomposition (SVD) for multiple image watermarking method (48).…”

Section: Figure 2 Information Security Techniques and Branches (28)mentioning

confidence: 99%

A Comprehensive Review on Medical Image Steganography Based on LSB Technique and Potential Challenges

2021

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The rapid development of telemedicine services and the requirements for exchanging medical information between physicians, consultants, and health institutions have made the protection of patients’ information an important priority for any future e-health system. The protection of medical information, including the cover (i.e. medical image), has a specificity that slightly differs from the requirements for protecting other information. It is necessary to preserve the cover greatly due to its importance on the reception side as medical staff use this information to provide a diagnosis to save a patient's life. If the cover is tampered with, this leads to failure in achieving the goal of telemedicine. Therefore, this work provides an investigation of information security techniques in medical imaging, focusing on security goals. Encrypting a message before hiding them gives an extra layer of security, and thus, will provide an excellent solution to protect the sensitive information of patients during the sharing of medical information. Medical image steganography is a special case of image steganography, while Digital Imaging and Communications in Medicine (DICOM) is the backbone of all medical imaging divisions, whereby it is most broadly used to store and transmit medical images. The main objective of this study is to provide a general idea of what Least Significant Bit-based (LSB) steganography techniques have achieved in medical images.

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“…Lamri Laouamer et al [33] has proposed a new approach for generating symmetric keys for image encryption / decryption, whereby the medical images (area of interest) use an informed process based on a technique that has been demonstrated on textual analysis called N-grams. Watermarking is performed by using a new nontensor product wavelet filter banks designed by A. Kannammal et al [34], which have the ability to reveal singularities in different directions. Natural image is taken as the original image and the medical image is taken as a watermark image.…”

Section: Joint Watermarkingmentioning

confidence: 99%

Computer Science & Information Technology ( CS & IT )

2015

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) were collocated with the ACITY-2015. The conferences attracted many local and international delegates, presenting a balanced mixture of intellect from the East and from the West.The goal of this conference series is to bring together researchers and practitioners from academia and industry to focus on understanding computer science and information technology and to establish new collaborations in these areas. Authors are invited to contribute to the conference by submitting articles that illustrate research results, projects, survey work and industrial experiences describing significant advances in all areas of computer science and information technology.The ACITY-2015, DPPR-2015, VLSI-2015, WiMNET-2015, AIAA-2015, CNDC-2015 Committees rigorously invited submissions for many months from researchers, scientists, engineers, students and practitioners related to the relevant themes and tracks of the workshop. This effort guaranteed submissions from an unparalleled number of internationally recognized top-level researchers. All the submissions underwent a strenuous peer review process which comprised expert reviewers. These reviewers were selected from a talented pool of Technical Committee members and external reviewers on the basis of their expertise. The papers were then reviewed based on their contributions, technical content, originality and clarity. The entire process, which includes the submission, review and acceptance processes, was done electronically. All these efforts undertaken by the Organizing and Technical Committees led to an exciting, rich and a high quality technical conference program, which featured high-impact presentations for all attendees to enjoy, appreciate and expand their expertise in the latest developments in computer network and communications research.In closing, ACITY-2015, DPPR-2015, VLSI-2015, WiMNET-2015, AIAA-2015, CNDC-2015 brought together researchers, scientists, engineers, students and practitioners to exchange and share their experiences, new ideas and research results in all aspects of the main workshop themes and tracks, and to discuss the practical challenges encountered and the solutions adopted. The book is organized as a collection of papers from the ACITY-2015, DPPR-2015, VLSI-2015, WiMNET-2015, AIAA-2015, CNDC-2015 We would like to thank the General and Program Chairs, organization staff, the members of the Technical Program Committees and external reviewers for their excellent and tireless work. We sincerely wish that all attendees benefited scientifically from the conference and wish them every success in their research. It is the humble wish of the conference organizers that the professional dialogue among the researchers, scientists, engineers, students and educators continues beyond the event and that the friendships and collaborations forged will linger and prosper for many years to come.

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Two level security for medical images using watermarking/encryption algorithms

Cited by 41 publications

References 14 publications

Fingerprint-based robust medical image watermarking in hybrid transform

Fingerprint-based robust medical image watermarking in hybrid transform

A Comprehensive Review on Medical Image Steganography Based on LSB Technique and Potential Challenges

Computer Science & Information Technology ( CS & IT )

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