A Study on Machine Learning for Steganalysis

K. Jung
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引用次数: 12

Abstract

Data security is very important when sensitive data are transmitted over the Internet. Steganography and steganalysis techniques can solve the problem of copyright, ownership, and detection malicious data. Steganography is to hide secret data without distortion and steganalysis is to detect the presence of hidden data. In this paper, steganography and steganalysis techniques are described together with machine learning frameworks to show that machine learning framework can be used to detect the secret data hiding in image using steganography algorithms.
用于隐写分析的机器学习研究
当敏感数据在互联网上传输时,数据安全是非常重要的。隐写和隐写分析技术可以解决版权、所有权和检测恶意数据的问题。隐写术是在不失真的情况下隐藏秘密数据,隐写分析是检测隐藏数据的存在。本文将隐写术和隐写分析技术与机器学习框架一起描述,以表明机器学习框架可以用于使用隐写算法检测隐藏在图像中的秘密数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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