Medical images protection and authentication using hybrid DWT-DCT and SHA256-MD5 hash functions

© 2017 IEEE. This paper deals with a blind digital watermarking technique for the ownership protection and content authentication of X-ray and MRI medical images. Extreme care is required before embedding watermarking information in medical images, to protect the image quality to avoid the wrong diagnosis. The proposed watermarking technique contains a robust watermark for the ownership protection and fragile watermarks for the content authentication. In the watermarking technique, the medical image is divided into regions and the watermark information is embedded in both the transform domain and the spatial domain. The proposed watermarking technique was successfully tested on a variety of X-ray and MRI medical images and offered high peak signal to noise ratios, similarity structure index measure values and wavelet domain signal to noise rations

Verification approach for medical data in e-healthcare system based on biometric and watermarking

Medical information is crucial in the healthcare system, and its manipulation can lead to misdiagnosis. Medical images also contain personal information for patients; hence, information security and privacy protection are paramount when transferring medical images over the Internet. Biometric approach and watermarking techniques are used to achieve this purpose. The focus of this paper was on a biometric watermarking system with a frequency domain in which the sender's iris code is employed as a sender authentication key. The privacy of the patient's information is preserved by encrypting it and embedding the key in the cover medical image created by the Discrete Wavelet Transform. The algorithm has shown that the proposed system has met previous requirements

A roadside units positioning framework in the context of vehicle-to-infrastructure based on integrated AHP-entropy and group-VIKOR

The positioning of roadside units (RSUs) in a vehicle-to-infrastructure (V2I) communication system may have an impact on network performance. Optimal RSU positioning is required to reduce cost and maintain the quality of service. However, RSU positioning is considered a difficult task due to numerous criteria, such as the cost of RSUs, the intersection area and communication strength, which affect the positioning process and must be considered. Furthermore, the conflict and trade-off amongst these criteria and the significance of each criterion are reflected on the RSU positioning process. Towards this end, a four-stage methodology for a new RSU positioning framework using multi-criteria decision-making (MCDM) in V2I communication system context has been designed. Real time V2I hardware for data collection purpose was developed. This hardware device consisted of multi mobile-nodes (in the car) and RSUs and connected via an nRF24L01+ PA/LNA transceiver module with a microcontroller. In the second phase, different testing scenarios were identified to acquire the required data from the V2I devices. These scenarios were evaluated based on three evaluation attributes. A decision matrix consisted of the scenarios as alternatives and its assessment per criterion was constructed. In the third phase, the alternatives were ranked using hybrid of MCDM techniques, specifically the Analytic Hierarchy Process (AHP), Entropy and Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR). The result of each decision ranking was aggregated using Borda voting approach towards a final group ranking. Finally, the validation process was made to ensure the ranking result undergoes a systematic and valid rank. The results indicate the following: (1) The rank of scenarios obtained from group VIKOR suggested the second scenario with, four RSUs, a maximum distance of 200 meters between RSUs and the antennas height of two-meter, is the best positioning scenarios; and (2) in the objective validation. The study also reported significant differences between the scores of the groups, indicating that the ranking results are valid. Finally, the integration of AHP, Entropy and VIKOR has effectively solved the RSUs positioning problems

AUTHENTICATION, TAMPER LOCALIZATION AND RECTIFICATION ALGORITHM WITH PRIVACY PRESERVATION OF IMAGE FOR THE CLOUD USING HMAC

Digital images like military, medical and quality control images are increasingly stored over cloud server. These images need protection against attempts to manipulate them since manipulations could tamper the decisions based on these images, many approaches have been proposed to protect the privacy of multimedia images over cloud through cryptography, these cryptographic approaches prevent the visibility of image contents but it does not identify if any changes are made on encrypted data by insider attack and cipher-text only attack. In this paper, we proposed to provide authentication, tamper localization, rectification along with privacy preservation of the image using padding extra bit plane for tamper localization, Hash message authentication code (HMAC) algorithm to authentication image, tamper rectification. The proposed algorithm will provide privacy to the image through hiding bit planes

The Serums Tool-Chain:Ensuring Security and Privacy of Medical Data in Smart Patient-Centric Healthcare Systems

Digital technology is permeating all aspects of human society and life. This leads to humans becoming highly dependent on digital devices, including upon digital: assistance, intelligence, and decisions. A major concern of this digital dependence is the lack of human oversight or intervention in many of the ways humans use this technology. This dependence and reliance on digital technology raises concerns in how humans trust such systems, and how to ensure digital technology behaves appropriately. This works considers recent developments and projects that combine digital technology and artificial intelligence with human society. The focus is on critical scenarios where failure of digital technology can lead to significant harm or even death. We explore how to build trust for users of digital technology in such scenarios and considering many different challenges for digital technology. The approaches applied and proposed here address user trust along many dimensions and aim to build collaborative and empowering use of digital technologies in critical aspects of human society

9/7 LIFT Reconfigurable Architecture Implementation for Image Authentication

Considering the information system medical images are the most sensitive and critical types of data. Transferring medical images over the internet requires the use of authentication algorithms that are resistant to attacks. Another aspect is confidentiality for secure storage and transfer of medical images. The proposed study presents an embedding technique to improve the security of medical images. As a part of preprocessing that involves removing the high-frequency components, Gaussian filters are used. To get LL band features CDF9/7 wavelet is employed. In a similar way, for the cover image, the LL band features are obtained. In order to get the 1st level of encryption the technique of alpha blending is used. It combines the LL band features of the secret image and cover images whereas LH, HL, and HH bands are applied to Inverse CDF 9/7. The resulting encrypted image along with the key obtained through LH, HL, and HH bands is transferred. The produced key adds an extra layer of protection, and similarly, the receiver does the reverse action to acquire the original secret image. The PSNR acquired from the suggested technique is compared to PSNR obtained from existing techniques to validate the results. Performance is quantified in terms of PSNR. A Spartan 6 FPGA board is used to synthesize the complete architecture in order to compare hardware consumption