Cryptanalysis and improvement of medical image encryption using high-speed scrambling and pixel adaptive diffusion

2020 ◽  
Vol 167 ◽  
pp. 107286 ◽  
Author(s):  
Yucheng Chen ◽  
Chunming Tang ◽  
Ruisong Ye
2018 ◽  
Vol 144 ◽  
pp. 134-144 ◽  
Author(s):  
Zhongyun Hua ◽  
Shuang Yi ◽  
Yicong Zhou

Author(s):  
Showkat Ahmad Bhat ◽  
Amandeep Singh

Background & Objective: Digital multimedia exchange between different mobile communication devices has increased rapidly with the invention of the high-speed data services like LTE-A, LTE, and WiMAX. However, there are always certain security risks associated with the use of wireless communication technologies. Methods: To protect the digital images against cryptographic attacks different image encryption algorithms are being employed in the wireless communication networks. These algorithms use comparatively less key spaces and accordingly offer inadequate security. The proposed algorithm described in this paper based on Rubik’s cube principle because of its high confusion and diffusion properties, Arnold function having effective scrambling power, blocking cipher with block encryption and permutation powers. The main strength of the proposed algorithm lies in the large key spaces and the combination of different high power encryption techniques at each stage of algorithm. The different operations employed on the image are with four security keys of different key spaces at multiple stages of the algorithm. Results & Conclusion: Finally, the effectiveness and the security analysis results shows that the proposed image encryption algorithm attains high encryption and security capabilities along with high resistance against cryptanalytic attacks, differential attacks and statistical attacks.


Author(s):  
Sundararaman Rajagopalan ◽  
Siva Janakiraman ◽  
Amirtharajan Rengarajan

The healthcare industry has been facing a lot of challenges in securing electronic health records (EHR). Medical images have found a noteworthy position for diagnosis leading to therapeutic requirements. Millions of medical images of various modalities are generally safeguarded through software-based encryption. DICOM format is a widely used medical image type. In this chapter, DICOM image encryption implemented on cyclone FPGA and ARM microcontroller platforms is discussed. The methodology includes logistic map, DNA coding, and LFSR towards a balanced confusion – diffusion processes for encrypting 8-bit depth 256 × 256 resolution of DICOM images. For FPGA realization of this algorithm, the concurrency feature has been utilized by simultaneous processing of 128 × 128 pixel blocks which yielded a throughput of 79.4375 Mbps. Noticeably, the ARM controller which replicated this approach through sequential embedded “C” code took 1248 bytes in flash code memory and Cyclone IV FPGA consumed 21,870 logic elements for implementing the proposed encryption scheme with 50 MHz operating clock.


2019 ◽  
Vol 43 (8) ◽  
Author(s):  
Shalini Stalin ◽  
Priti Maheshwary ◽  
Piyush Kumar Shukla ◽  
Manish Maheshwari ◽  
Bhupesh Gour ◽  
...  

Author(s):  
Eric T.T. Wong ◽  
Carrison K.S. Tong

Tele-radiology is the technology of remote medical consultation using X-ray, computed tomographic, or magnetic resonance images. It was commonly accepted by clinicians for its effectiveness in making diagnoses for patients in critical situations. Because of the huge size of data volume involved in tele-radiology (American College of Radiology [ACR], 2003), clinicians are not satisfied with the relatively slow data-transfer rate. It limits the technology to fixed-line communication between the doctor’s home and his or her office. In this project, a mobile high-speed wireless medical image viewing system using a 3G (third-generation) wireless network (Collins & Smith, 2001), virtual private network, and one-time two-factor authentication (OTTFA) technologies is presented. Using this system, tele-radiology can be achieved by using a 3G PDA (personal digital assistant) phone to query, retrieve, and review the patient’s record at anytime and anywhere in a secure environment. Using this technology, the patient-data availability can be improved significantly, which is crucial to timely diagnoses of patients in critical situations.


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