Medical Image Encryption: An Application for Improved Padding Based GGH Encryption Algorithm

Medical Image Encryption: An Application for Improved Padding Based GGH Encryption Algorithm


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صفحه نخست سامانه
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دانشگاه علوم پزشکی تبریز
دانشگاه علوم پزشکی تبریز

نویسندگان: بابک سکوتی

کلمات کلیدی: Keywords: Encryption, GGH, Matrices, Medical image, Padding, Public key

نشریه: , 2016 , 10 , 2016

اطلاعات کلی مقاله
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نویسنده ثبت کننده مقاله بابک سکوتی
مرحله جاری مقاله تایید نهایی
دانشکده/مرکز مربوطه مرکز تحقیقات بیوتکنولوژی(زیست فناوری)
کد مقاله 59445
عنوان فارسی مقاله Medical Image Encryption: An Application for Improved Padding Based GGH Encryption Algorithm
عنوان لاتین مقاله Medical Image Encryption: An Application for Improved Padding Based GGH Encryption Algorithm
ناشر 3
آیا مقاله از طرح تحقیقاتی و یا منتورشیپ استخراج شده است؟ خیر
عنوان نشریه (خارج از لیست فوق) The Open Journal of Medical Informatics
نوع مقاله Original Article
نحوه ایندکس شدن مقاله ایندکس شده سطح دو – PubMed
آدرس لینک مقاله/ همایش در شبکه اینترنت www.benthamopen.com/ABSTRACT/TOMINFOJ-10-11

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Medical images are regarded as important and sensitive data in the medical informatics systems. For transferring medical images over an insecure network, developing a secure encryption algorithm is necessary. Among the three main properties of security services (i.e., confidentiality, integrity, and availability), the confidentiality is the most essential feature for exchanging medical images among physicians. The Goldreich Goldwasser Halevi (GGH) algorithm can be a good choice for encrypting medical images as both the algorithm and sensitive data are represented by numeric matrices. Additionally, the GGH algorithm does not increase the size of the image and hence, its complexity will remain as simple as O(n2). However, one of the disadvantages of using the GGH algorithm is the Chosen Cipher Text attack. In our strategy, this shortcoming of GGH algorithm has been taken in to consideration and has been improved by applying the padding (i.e., snail tour XORing), before the GGH encryption process. For evaluating their performances, three measurement criteria are considered including (i) Number of Pixels Change Rate (NPCR), (ii) Unified Average Changing Intensity (UACI), and (iii) Avalanche effect. The results on three different sizes of images showed that padding GGH approach has improved UACI, NPCR, and Avalanche by almost 100%, 35%, and 45%, respectively, in comparison to the standard GGH algorithm. Also, the outcomes will make the padding GGH resist against the cipher text, the chosen cipher text, and the statistical attacks. Furthermore, increasing the avalanche effect of more than 50% is a promising achievement in comparison to the increased complexities of the proposed method in terms of encryption and decryption processes.

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بابک سکوتیسوم

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