摘要
目前多数应用于物联网环境下激光传感通信中的信息隐写方法大多数在加密的过程中将明显的文字转化为乱码形式来防止信息被盗取,但是传递过程中很可能被第三方拦截或遭到黑客攻击。为了提高激光传感通信过程中的信息隐写隐蔽性,在保证网络安全性能的基础上,提出一种新的物联网环境下激光传感通信中的信息隐写技术。创建一个含有许多种特点不同的单元库,以此来表示二进制信息和图像单元之间映射关系;根据含密信息从单元库中挑选适合的图形,确定图形所在的位置,制定含有含密信息的单元;在中间增加一些背景信息,并且经过可逆形变操作使其形成一个含有复杂纹理结构的含密信息,根据已知的密钥对含密信息进行逆操作,分析它的位置信息和图像特点以提取秘密数据。实验结果表明该方法生成的物联网环境下激光传感通信中的信息隐写信息具有良好的效果,使秘密数据得到很好地隐蔽。
Most is applied in the laser sensor communication information in the Internet environment steganographic methods most of the encryption process will clearly text into the code form to prevent information being stolen, but probably blocked by a third party or in the process of passing by hackers. In order to improve the laser sensor steganographic concealment of information in the process of communication, on the basis of guarantee the network security performance, put forward a new laser sensor communication information in the Internet environment steganographic techniques. To create a different cell library contains many kinds of characteristics, in order to represent binary information and mapping relationship between image unit; According to the secret information from unit library choose suitable graphics, graphical location is determined, formulated containing unit containing secret information; In the middle add some background information, and a reversible deformation operation to form a containing the complex texture structure containing secret information, according to the known key to inverse operation, including the secret information analysis its position information and the characteristics of the image to extract secret data. The experimental results show that the method to generate laser sensor under the Internet environment of communication steganographic information has good effect, the information in the secret data is well hidden.
出处
《激光杂志》
北大核心
2017年第9期132-135,共4页
Laser Journal
基金
河南省基础与前沿技术研究计划项目(162300410193)
郑州市科技局科技发展计划项目(20141371)
郑州市嵌入式系统应用技术重点实验室资助项目(121PYFZX177)
关键词
激光传感通信
映射关系
秘密数据
arnlod transformation
mapping relations
secret data