基于NTRU的密文域可逆信息隐藏算法
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TP391

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基于加密过程的密文域可逆信息隐藏理论与方法研究


Reversible Data Hiding Algorithm in Encrypted Domain Based on NTRU
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Research on the theory and method of reversible data hiding in encrypted domain based on encryption process

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    摘要:

    NTRU (number theory research unit)具有抗量子计算攻击、加解密速度快、安全性高的特点,非常适合用于无线保密数据网、认证系统等业务。结合可逆信息隐藏技术,提出了一种基于NTRU的密文域可逆信息隐藏算法。首先利用差值扩展算法完成对图像像素的预处理;然后使用NTRU算法对图像像素进行加密,利用NTRU算法的加法同态性质在密文中嵌入信息,嵌入的信息得到NTRU算法加密的安全性理论保证;解密与信息提取后,利用差值扩展算法的特点可逆恢复出图像像素。采用图像的直方图及方差、信息熵、相邻像素的相关性等统计学方法,论证了在密文中嵌入信息的不可感知性。仿真实验结果表明:该算法既能实现嵌入信息后密文的正确解密,又能无损提取秘密信息,平均嵌入率可达到0.5 bpp (bit per pixel)。

    Abstract:

    NTRU (number theory research unit) has the characteristics of resistance to quantum computing attacks, fast encryption and decryption, and high security. It is very suitable for wireless confidential data networks and authentication systems. In combination with reversible data hiding technology, a reversible data hiding algorithm in encrypted domain based on NTRU is proposed. Firstly, the pre-processing of image pixels is done by difference expansion algorithm. Then, the image pixels are encrypted by using NTRU algorithm. The information is embedded in the ciphertext by the additive homomorphism of NTRU algorithm. The embedded information is guaranteed by the security theory of NTRU algorithm encryption. After decryption and data extraction, the characteristics of the difference expansion algorithm can be used to reversibly recover image pixels. The invisibility of embedding information in ciphertext is demonstrated by statistical methods such as histogram and variance of image, information entropy and correlation of adjacent pixels. The experimental results show that the algorithm can not only correctly decrypt the ciphertext with hidden data, but also extract the secret information lossless. The average embedding rate can reach 0.5 bit per pixel (bpp).

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周能,张敏情,唐洪琼,等. 基于NTRU的密文域可逆信息隐藏算法[J]. 科学技术与工程, 2020, 20(32): 13285-13294.
Zhou Neng, Tang HongQiong, Zhou HaoNan, et al. Reversible Data Hiding Algorithm in Encrypted Domain Based on NTRU[J]. Science Technology and Engineering,2020,20(32):13285-13294.

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  • 收稿日期:2020-04-02
  • 最后修改日期:2020-07-28
  • 录用日期:2020-05-26
  • 在线发布日期: 2020-12-03
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