基于机器学习的文本信息隐藏算法研究  

RESEARCH ON TEXT INFORMATION HIDING ALGORITHM BASED ON MACHINE LEARNING

作　　者：冯东华[1] 冯庆华 FENG Dong-hua;FENG Qing-hua(Department of Computer and Information Engineering,Nanyang Institute of Technology,Nanyang 473004,China;The 32326 Army,Kuitun 832000,China)

机构地区：[1]南阳理工学院计算机与信息工程学院,河南南阳473004 [2]第32326部队,新疆奎屯832000

出　　处：《南阳理工学院学报》2020年第4期48-51,56,共5页Journal of Nanyang Institute of Technology

摘　　要：为了提高文本信息安全存储和优化调度能力,需要进行文本信息的隐藏处理,提出基于机器学习的文本信息隐藏算法,构建文本信息加密密钥机制,采用同态加密方法进行文本信息的加密映射密钥设计,根据文本信息在加密密钥中的分类属性进行量化编码,提取文本信息的语义关联性特征量,结合对文本信息的加密统计特征分析方法进行线性随机编码和模糊统计特征分析,采用分段融合方法进行文本信息的分组加密和解密,结合机器学习算法进行文本信息的隐藏收敛性控制,实现文本信息隐藏算法优化。仿真结果表明,采用该方法进行文本信息隐藏的深度较高,抗攻击能力较强,提高文本信息存储的安全性。In order to improve the ability of safe storage and optimal scheduling of text information,the text information hiding algorithm based on machine learning is proposed,and the encryption key mechanism of text information is constructed.The homomorphic encryption method is used to design the crypto-mapping key of text information.According to the classified attributes of text information in encryption key,the text information is quantized and encoded,and the semantic relevance feature of text information is extracted.Combining with the encryption statistical feature analysis method of text information,linear random coding and fuzzy statistical feature analysis are carried out,and the segmented fusion method is used to encrypt and decrypt the text information in groups.Combining machine learning algorithm to control the convergence of text information hiding,the optimization of text information hiding algorithm is realized.The simulation results show that this method has high depth of text information hiding,strong anti-attack ability,and improves the security of text information storage.

关 键 词：机器学习 文本信息 隐藏算法 加密密钥 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]