基于超混沌DNA计算优化OTP算法的文本图像加密算法

Document and Image Encryption Based on OTP Optimized by Hyper-chaos Mapping DNA Computing

摘要:

针对一次一密加密(OTP)算法存在3个缺陷而严重影响其在实际加密系统中可靠性的问题,提出了基于超混沌DNA计算优化OTP的文本图像加密算法；首先分析了原始OTP算法中密钥序列的3种缺陷(使用次数受限、占用长度过长、真随机且不可预测)；然后,基于Logistic超混沌映射及DNA计算理论,提出了改进OTP算法的文本图像加密方案；最后,在二进制数据文本及图像上的加密实验验证了所提算法的有效性及可靠性；实验结果表明,利用文章算法加密后的图像相关系数明显降低,甚至接近0,针对不同文件大小使用256位密钥的平均加密、解密时间远低于OpenSSL-AES算法。

Abstract:

For the issue that there are three defects in One-Time-Pad algorithm (OTP) which will seriously impact its reliability in actually cipher systems, document and image encryption based on DNA computing optimized by Logistic hyper-chaos mapping is proposed. Firstly, the three detects (limitation of using number, long length spent and really random with unpredictable) of key sequence in original OTP is analyzed. Then, document and image encryption schemas optimizing OTP is proposed based on Logistic hyper-chaos mapping and DNA computing theory. Finally, the effectiveness and reliability of proposed algorithm has been verified by encryption experiments on binary data text and images. Experimental results show that the correlation coefficient of images encrypted by proposed algorithm has reduced significantly, even it is closing to zero. The average encryption and decryption time is far less than OpenSSL-AES algorithm when using 256 bits key for files with different sizes.