کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4977501 1451927 2017 22 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Image encryption method based on chaotic fuzzy cellular neural networks
ترجمه فارسی عنوان
روش رمزنگاری تصویر بر اساس شبکه های عصبی سلولی فازی هجی
کلمات کلیدی
آشوب، رمزگذاری، تاخیر نشت، شبکه عصبی سلولی فازی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی
In this work, an image encryption method is proposed based on fuzzy cellular neural network (FCNN). First, the shortcomings of FCNN in encrypting image are identified, and the FCNN model is then modified to address these shortcomings. Specifically, a theoretical framework is developed to identify the values of the parameters of FCNN to generate chaotic signals, which are in turn utilized to encrypt the image. The encryption method is designed where an encrypted pixel is generated based on the corresponding plaintext pixel together with the neighbouring encrypted pixels. The proposed method has a key sensitivity in the order of 10−10 to achieve adequate security robustness. Further evaluations on standard test images verified and confirmed that the proposed encryption method is robust against plaintext-only (i.e., brutal force) and chosen-plaintext attacks.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 140, November 2017, Pages 87-96
نویسندگان
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