基于熵的正交变量扩频因子图像加密

D. Ballesteros, D. Renza, Jimmy Peña
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引用次数: 0

摘要

图像加密的目的是提供数据的隐私性和安全性。前者保证了只有经过授权的人员才能访问原始内容,而后者则意味着加密后的内容与原始内容之间没有明显的关系,密钥空间是等可能的,并且足够大。在该领域的现状中,有几种图像加密技术具有很高的隐私性(就熵而言),但在安全性方面较弱(即密钥空间小)。最近,提出了一种新的基于编码的方法,该方法提供了一个长密钥空间(即8,57 × 10506),中间熵值为87%。我们的方案保留了基于编码的图像加密方法的强度,但在安全性方面比前期的工作更有价值。图像的每个像素被映射成基于256位的正交码。考虑到符号间熵接近可能的最大值,选择8-OVSF编码对图像进行编码。大量的测试结果验证了我们的加密数据具有非常高的熵值(98.5%),具有等可能的长密钥空间(8,57 × 10506),从而在隐私和安全性之间提供了足够的平衡。
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Entropy-based image encryption using Orthogonal Variable Spreading Factor (OVSF)
The purpose of image encryption is to provide data privacy and security. The former ensures that only authorized personnel can access the original content, while the latter implies that there is no evident relationship between the encrypted and the original content, and that the key space is equally likely and large enough. In the current state of the field, there are several proposals of image encryption techniques with very high privacy (in terms of entropy) but weak in terms of security (i.e., small key space). Recently, a new encoding-based method that provides a long key space (namely 8,57 × 10506) with a middle value of entropy (87%) was proposed. Our proposal preserves the strength of the image encryption methods based on encoding, but with a higher value placed on security than the preliminary works. Every pixel of an image is mapped into an orthogonal code based on 256 bits. The 8-OVSF codes are selected to encode the image, given that the entropy of the inter-symbol is near the possible maximum. Numerous test results verify that our ciphered data have a very high value of entropy (98,5%) with an equally likely and long key space (8,57 × 10506), thus providing an adequate balance between privacy and security.
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