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A Novel Biometric Inspired Robust Security Framework for Medical Images
S.P. Singh,
Published in IEEE Computer Society
Volume: 33
Issue: 3
Pages: 810 - 823
The protection of sensitive and confidential data become a challenging task in the present scenario as more and more digital data is stored and transmitted between the end users. The privacy is vitally necessary in case of medical data, which contains the important information of the patients. In this article, a novel biometric inspired medical encryption technique is proposed based on newly introduced parameterized all phase orthogonal transformation (PR-APBST), singular value, and QR decomposition. The proposed technique utilizes the biometrics of the patient/owner to generate a key management system to obtain the parameters involved in the proposed technique. The medical image is then encrypted employing PR-APBST, QR and singular value decomposition and is ready for secure transmission or storage. Finally, a reliable decryption process is employed to reconstruct the original medical image from the encrypted image. The validity and feasibility of the proposed framework have been demonstrated using an extensive experiments on various medical images and security analysis. © 1989-2012 IEEE.
About the journal
JournalData powered by TypesetIEEE Transactions on Knowledge and Data Engineering
PublisherData powered by TypesetIEEE Computer Society
Open AccessNo