Enhancing the Security of Exchanging and Storing DICOM Medical Images on the Cloud
O. Dorgham,
Banan Al-Rahamneh,
Ammar Almomani,
Moh'd Al-Hadidi and
Khalaf F. Khatatneh
Additional contact information
O. Dorgham: Prince Abdullah Ben Ghazi Faculty of Information Technology, Al-Balqa Applied University, Al Salt, Jordan
Banan Al-Rahamneh: Prince Abdullah Ben Ghazi Faculty of Information Technology, Al-Balqa Applied University, Al Salt, Jordan
Ammar Almomani: IT-Department, Al-Huson University College, Al-Balqa Applied University, Irbid, Jordan
Moh'd Al-Hadidi: Prince Abdullah Ben Ghazi Faculty of Information Technology, Al-Balqa Applied University, Al Salt, Jordan
Khalaf F. Khatatneh: Prince Abdullah Ben Ghazi Faculty of Information Technology, Al-Balqa Applied University, Al Salt, Jordan
International Journal of Cloud Applications and Computing (IJCAC), 2018, vol. 8, issue 1, 154-172
Abstract:
Medical image information can be exchanged remotely through cloud-based medical imaging services. Digital Imaging and Communication in Medicine (DICOM) is considered to be the most commonly used medical image format among hospitals. The objective of this article is to enhance the secure transfer and storage of medical images on the cloud by using hybrid encryption algorithms, which are a combination of symmetric encryption algorithms and asymmetric encryption algorithms that make the encryption process faster and more secure. To this end, three different algorithms are chosen to build the framework. These algorithms are simple and suitable for hardware or software implementation because they require low memory and low computational power yet provide high security. Also, security was increased by using a digital signature technique. The results of the analyses showed that for a DICOM file with size 12.5 Mb, 2.957 minutes was required to complete the process. This was totaled from the encryption process took 1.898 minutes, and the decryption process took 1.059 minutes.
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jcac00:v:8:y:2018:i:1:p:154-172
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