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作 者:李宗翰 刘佳[1] 柯彦[1] 张敏情[1] 罗鹏 LI Zonghan;LIU Jia;KE Yan;ZHANG Minqing;LUO Peng(College of Cryptographic Engineering,Engineering University of PAP,Xi’an 710086,China)
机构地区:[1]武警工程大学密码工程学院
出 处:《应用科学学报》2019年第5期733-743,共11页Journal of Applied Sciences
基 金:国家自然科学基金(No.61872384,No.61379152);国家重点研究开发项目(No.2017YFB0802000)资助
摘 要:针对基于载体选择的隐写算法存在的安全问题,提出了一种基于图像翻译的载体选择式图像隐写方案.发送方按载体选择的方法从图像库中选取秘密信息并得到含密图像,然后输入到跨域变换模型中进行跨域变换,生成跨域图像并传递给接收方;接收方将跨域图像输入到发送方,由线下传递的跨域变换模型中得到含密图像,然后依据映射关系库将含密图像逆向转化为秘密信息.实验结果表明,所提出的方案在容量、抗检测性和安全性方面均有明显提升.To address the security risk in steganography algorithms using cover selection,an image-to-image translation steganography scheme based on cover selection is proposed.In the proposed scheme,the sender first selects the stego images from image libraries by the method of cover selection,then inputs the stego images into the cross-domain transfor-mation model to get cross-domain images and transmits them to the receiver.Whereas the receiver receives the cross-domain images,and inputs them into the cross-domain transformation model to obtain stego images,then reversely converts them into secret information according to the mapping relation library.Experimental results show that the proposed method has significantly improvement in terms of capacity,anti-detection,and security.
分 类 号:TP309[自动化与计算机技术—计算机系统结构]
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