رمزنگاری تصاویر پزشکیDICOM برای افزایش امنیت و جلوگیری از تغییر و دسترسی غیرمجاز به این تصاویر
محورهای موضوعی : مجله فناوری اطلاعات در طراحی مهندسی
محمد سلطانی
1
,
حسن شاکری
2
*
,
محبوبه هوشمند
3
1 - گروه مهندسی کامپیوتر، واحد مشهد، دانشگاه آزاد اسلامی، مشهد، ایران
2 - گروه مهندسی کامپیوتر، واحد مشهد، دانشگاه آزاد اسلامی، مشهد، ایران
3 - گروه مهندسی کامپیوتر، واحد مشهد، دانشگاه آزاد اسلامی، مشهد، ایران
کلید واژه: امنیت, DICOM, رمزنگاری با استفاده از نقشه لجستیک سه بعدی, اطلاعات بیومتریک بیمار, امضای دیجیتال,
چکیده مقاله :
اطلاعات پزشکی، از جمله پرونده‌های الکترونیکی سلامت، از طریق شبکه‌ای باز منتقل می‌شوند. یکی از فناوری‌های مورد استفاده برای محافظت از تصاویر پزشکی، رمزنگاری است. در این مقاله، یک الگوریتم رمزنگاری ترکیبی کارآمد برای امنیت تصاویر دیجیتال و ارتباطات پزشکی در حوزه سلامت پیشنهاد شده است. الگوریتم پیشنهادی از یک الگوریتم هوش مصنوعی و الگوریتم رمزنگاری نقشه لجستیک سه‌بعدی استفاده می‌کند. در این الگوریتم، پیش از دریافت تصویر DICOM بیمار، ابتدا اطلاعات بیومتریک بیمار توسط هوش مصنوعی ارزیابی می‌شود و در صورتی که اطلاعات بیومتریک دریافتی صحیح باشد، در مراحل بعدی تصویر DICOM با استفاده از الگوریتم رمزنگاری نقشه لجستیک سه‌بعدی رمزگذاری می‌شود. علاوه بر این، برای افزایش امنیت، در رمزنگاری هر تصویر DICOM، تمامی کلیدهای رمزگذاری و رمزگشایی در تمامی مراحل، به اطلاعات بیومتریک بیمار مانند اثر انگشت یا عنبیه چشم وابسته هستند. براساس نتایج به‌دست‌آمده از الگوریتم پیشنهادی، حداکثر آنتروپی ۷٫۹۹۹۸، مقدار NPCR برابر%۹۹٫۹۸، مقدار UACI برابر%۳۳٫۵۲، فضای کلید بیشتر از 1089 و همبستگی غیر صفر به دست آمده است. همچنین استفاده از اطلاعات بیومتریک بیمار، نشان‌دهنده‌ی مقاومت بالای الگوریتم در برابر حملات جست‌وجوی فراگیر است.
Medical information, including electronic health records, is transmitted over an open network. One of the technologies used to protect medical images is encryption. In this paper, an efficient hybrid encryption algorithm is proposed for the security of digital images and medical communications in the healthcare field. The proposed algorithm uses an artificial intelligence algorithm and a 3D logistic map encryption algorithm. In this algorithm, before receiving the patient's DICOM image, the patient's biometric information is first evaluated by artificial intelligence, and if the received biometric information is correct, the DICOM image is encrypted using the 3D logistic map encryption algorithm in the next steps. In addition, to increase security, in the encryption of each DICOM image, all encryption and decryption keys in all stages depend on the patient's biometric information, such as fingerprint or iris. Based on the results obtained from the proposed algorithm, the maximum entropy is 7.9998, the NPCR value is 99.98%, the UACI value is 33.52%, the key space is more than 1089, and the correlation is non-zero. Also, the use of patient biometric information indicates the high resistance of the algorithm against brute force attacks.
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