Batch Image Encryption Using Generated Deep Features Based on Stacked Autoencoder Network
المؤلفون المشاركون
Hu, Fei
Wang, Jingyuan
Xu, Xiaofei
Pu, Changjiu
Peng, Tao
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-02-28
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Chaos-based algorithms have been widely adopted to encrypt images.
But previous chaos-based encryption schemes are not secure enough for batch image encryption, for images are usually encrypted using a single sequence.
Once an encrypted image is cracked, all the others will be vulnerable.
In this paper, we proposed a batch image encryption scheme into which a stacked autoencoder (SAE) network was introduced to generate two chaotic matrices; then one set is used to produce a total shuffling matrix to shuffle the pixel positions on each plain image, and another produces a series of independent sequences of which each is used to confuse the relationship between the permutated image and the encrypted image.
The scheme is efficient because of the advantages of parallel computing of SAE, which leads to a significant reduction in the run-time complexity; in addition, the hybrid application of shuffling and confusing enhances the encryption effect.
To evaluate the efficiency of our scheme, we compared it with the prevalent “logistic map,” and outperformance was achieved in running time estimation.
The experimental results and analysis show that our scheme has good encryption effect and is able to resist brute-force attack, statistical attack, and differential attack.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hu, Fei& Wang, Jingyuan& Xu, Xiaofei& Pu, Changjiu& Peng, Tao. 2017. Batch Image Encryption Using Generated Deep Features Based on Stacked Autoencoder Network. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1190241
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hu, Fei…[et al.]. Batch Image Encryption Using Generated Deep Features Based on Stacked Autoencoder Network. Mathematical Problems in Engineering No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1190241
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hu, Fei& Wang, Jingyuan& Xu, Xiaofei& Pu, Changjiu& Peng, Tao. Batch Image Encryption Using Generated Deep Features Based on Stacked Autoencoder Network. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1190241
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1190241
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر