A Novel Image Authentication with Tamper Localization and Self-Recovery in Encrypted Domain Based on Compressive Sensing
المؤلفون المشاركون
Zhang, Rui
Xiao, Di
Chang, Yanting
المصدر
Security and Communication Networks
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-03-29
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
This paper proposes a novel tamper detection, localization, and recovery scheme for encrypted images with Discrete Wavelet Transformation (DWT) and Compressive Sensing (CS).
The original image is first transformed into DWT domain and divided into important part, that is, low-frequency part, and unimportant part, that is, high-frequency part.
For low-frequency part contains the main information of image, traditional chaotic encryption is employed.
Then, high-frequency part is encrypted with CS to vacate space for watermark.
The scheme takes the processed original image content as watermark, from which the characteristic digest values are generated.
Comparing with the existing image authentication algorithms, the proposed scheme can realize not only tamper detection and localization but also tamper recovery.
Moreover, tamper recovery is based on block division and the recovery accuracy varies with the contents that are possibly tampered.
If either the watermark or low-frequency part is tampered, the recovery accuracy is 100%.
The experimental results show that the scheme can not only distinguish the type of tamper and find the tampered blocks but also recover the main information of the original image.
With great robustness and security, the scheme can adequately meet the need of secure image transmission under unreliable conditions.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Rui& Xiao, Di& Chang, Yanting. 2018. A Novel Image Authentication with Tamper Localization and Self-Recovery in Encrypted Domain Based on Compressive Sensing. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1213900
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Rui…[et al.]. A Novel Image Authentication with Tamper Localization and Self-Recovery in Encrypted Domain Based on Compressive Sensing. Security and Communication Networks No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1213900
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Rui& Xiao, Di& Chang, Yanting. A Novel Image Authentication with Tamper Localization and Self-Recovery in Encrypted Domain Based on Compressive Sensing. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1213900
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1213900
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