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In this android era, the word spectrum is connected with trillion faces. The underutilization problem of the spectrum in most of the applications results in the paucity of this scarce resource. Cognitive radio (CR) is an astute technology implemented for the opportunistic usage of idle spectrum resource dynamically. This paper focuses on sensing of the vacant channels, and it is pre-owned for the transmission of encrypted DICOM information. The proposed algorithm involves encryption schemes like RC5, latin square image cipher, deoxyribo nucleic acid, and discrete Gould transform (DGT) to render confusion, diffusion, and permutation operations. Further, the uncorrelated cipher image is transmitted via the identified unused licensed spectrum. The proposed scheme guarantees the authorised transactions among the stack holders like patients, doctors, and hospital management systems. It also ascertains and enhances the validation of the cipher biomedical interactions among peers by assuring tamper proofing using DGT. Simulations have been conceded over universal software radio peripheral to validate the biomedical data transactions after sensing the unused spectrum. Metrics like global–local entropies, correlation coefficients, key sensitivity, chi-square tests, cropping attacks and differential attack analysis were estimated to authenticate the robustness of the projected encryption scheme. [ABSTRACT FROM AUTHOR]

Secured sharing of the diagnostic reports and scan images of patients among doctors with complementary expertise for collaborative treatment will help to provide maximum care through faster and decisive decisions. In this context, a tri-layer cryptic solution has been proposed and implemented on Digital Imaging and Communications in Medicine (DICOM) images to establish a secured communication for effective referrals among peers without compromising the privacy of patients. In this approach, a blend of three cryptic schemes, namely Latin square image cipher (LSIC), discrete Gould transform (DGT) and Rubik's encryption, has been adopted. Among them, LSIC provides better substitution, confusion and shuffling of the image blocks; DGT incorporates tamper proofing with authentication; and Rubik renders a permutation of DICOM image pixels. The developed algorithm has been successfully implemented and tested in both the software (MATLAB 7) and hardware Universal Software Radio Peripheral (USRP) environments. Specifically, the encrypted data were tested by transmitting them through an additive white Gaussian noise (AWGN) channel model. Furthermore, the sternness of the implemented algorithm was validated by employing standard metrics such as the unified average changing intensity (UACI), number of pixels change rate (NPCR), correlation values and histograms. The estimated metrics have also been compared with the existing methods and dominate in terms of large key space to defy brute force attack, cropping attack, strong key sensitivity and uniform pixel value distribution on encryption. [ABSTRACT FROM AUTHOR]