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Enhancing the Security of Exchanging and Storing DICOM Medical Images on the Cloud

Author

Listed:
  • 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)

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.

Suggested Citation

  • O. Dorgham & Banan Al-Rahamneh & Ammar Almomani & Moh'd Al-Hadidi & Khalaf F. Khatatneh, 2018. "Enhancing the Security of Exchanging and Storing DICOM Medical Images on the Cloud," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 8(1), pages 154-172, January.
    • Handle: RePEc:igg:jcac00:v:8:y:2018:i:1:p:154-172
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    Cited by:

    1. Jha, Srinidhi & Goyal, Manish Kumar & Gupta, Brij & Gupta, Anil Kumar, 2021. "A novel analysis of COVID 19 risk in India incorporating climatic and socioeconomic Factors," Technological Forecasting and Social Change, Elsevier, vol. 167(C).

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