基于学术社交平台的图像加密方案设计与实现
首发时间:2019-01-30
摘要:广大师生在校内学术社交平台探讨时常涉及与关键技术、个人隐私相关的大量图像数据,现有的学术社交平台缺乏性能优良的图像加密方案。针对以上问题,设计了一种由聊天记录等数据产生密钥的数字图像一次一密分级加密方案。该密钥使加密算法与图像明文相联系,扩大了密钥空间。其中,分级加密中一级加密用Baker映射置乱图像,二级加密运用Baker映射与6维细胞神经网络耦合的加密算法。在保障传输速率的前提下,增强了平台内图像数据的安全性。
关键词: 图像加密 学术社交平台 一次一密 细胞神经网络 分级加密
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Design and Implementation of Academic Social Platform Based on Image Encryption
Abstract:The majority of professors and students in the academic social platform discussion often involve a large amount of image data related to key technologies and personal privacy. The existing academic social platform lacks an excellent image encryption scheme. Aiming at the above problems, a digital image one-time hierarchical encryption scheme for generating keys from data such as chat records is designed. This key links the encryption algorithm to the plaintext of the image, expanding the key space. Among them, the first-level encryption in the hierarchical encryption uses the Baker mapping scrambling image, and the second-level encryption uses the encryption algorithm coupled with the Baker mapping and the 6-dimensional cellular neural network. Under the premise of guaranteeing the transmission rate, the security of the image data in the platform is enhanced.
Keywords: image encryption academic social platform one-time pad cellular neural network hierarchical encryption
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