ارسل ملاحظاتك

ارسل ملاحظاتك لنا







يجب تسجيل الدخول أولا

N-Grams Based a Novel Adapted Watermarking Approach to Secure Health Information Systems Databases: Case of Medical Images

المصدر: مجلة العلوم الإدارية والاقتصادية
الناشر: جامعة القصيم - كلية الاقتصاد والإدارة
المؤلف الرئيسي: Laouamer, Lamri (Author)
المجلد/العدد: مج17, ع1
محكمة: نعم
الدولة: السعودية
التاريخ الميلادي: 2024
الشهر: مارس
الصفحات: 87 - 100
ISSN: 1658-404X
رقم MD: 1468187
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: EcoLink
مواضيع:
كلمات المؤلف المفتاحية:
Medical Images | N-Grams | Region of Interest | Imperceptibility | Robustness
رابط المحتوى:
صورة الغلاف QR قانون

عدد مرات التحميل

7

حفظ في:
LEADER 02702nam a22002177a 4500
001 2212522
041 |a eng 
044 |b السعودية 
100 |9 778358  |a Laouamer, Lamri  |e Author 
245 |a N-Grams Based a Novel Adapted Watermarking Approach to Secure Health Information Systems Databases:  |b Case of Medical Images 
260 |b جامعة القصيم - كلية الاقتصاد والإدارة  |c 2024  |g مارس 
300 |a 87 - 100 
336 |a بحوث ومقالات  |b Article 
520 |b In regards to data protection, securing medical content must achieve a balance between several factors such as data confidentiality, data integrity, data availability, etc. Health Information Systems (HIS) has been identified for a few years, since establishments have largely computerized their healthcare process and biomedical devices have been developed incorporating complex computer systems. Access to patient information has become purely electronic through Electronic Patient Record (EPR). These records contain information in different formats (textual, images, videos). In the case of securing medical images which is the subject of this paper, it is imperative to find solutions with a tradeoff between the security degree and its complexity in terms of computation time. In this paper, we propose a new approach for medical images watermarking that addresses the problem described above by preserving an acceptable tradeoff between security and complexity. This approach is based on the N-grams technique, with the aim to watermark only the regions of interest (ROI) within the host image. This approach has proven its efficiency in Natural Language Processing (NLP). The results obtained are very encouraging and will be detailed in this paper in terms of imperceptibility, execution time and robustness. For the imperceptibility most of PSNR results are well over 40dB. Regarding the robustness, the values of the normalized correlation coefficients are mostly close to 1. According to these two metrics we can conclude that the proposed watermarking scheme is well imperceptible and robust. 
653 |a حماية البيانات  |a العلامات المائية  |a المعلومات الصحية  |a قواعد البيانات 
692 |b Medical Images  |b N-Grams  |b Region of Interest  |b Imperceptibility  |b Robustness 
773 |4 الاقتصاد  |4 الإدارة  |6 Economics  |6 Management  |c 005  |e Journal of Economic and Adminstrative Sciences  |f Majalat aleulum al'iidariat waliaqtisadia  |l 001  |m مج17, ع1  |o 0427  |s مجلة العلوم الإدارية والاقتصادية  |v 017  |x 1658-404X 
856 |u 0427-017-001-005.pdf 
930 |d y  |p y  |q n 
995 |a EcoLink 
999 |c 1468187  |d 1468187 

عناصر مشابهة