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An advance to cloning detection in digital forensics investigations

机译:数字取证调查中克隆检测的进展

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摘要

Digital images constitute a major part of data in many digital devices and become main information carriers in the digital era. In cyber-crimes the digital images are presented as court evidences. The authenticity of the digital images submitted as court evidence is a big question mark; since these pictures can been altered or modified. In this paper, an approach for Evidence Examination and Analysis in digital device forensics investigation platform is proposed. Here a method for cloning or copy-move forgery detection to be used in device forensic investigations is given. The suspected file obtained as court evidence is analyzed. Byte Frequency Analysis algorithm is used to validate the suspected file in PNG format. Fast Copy Move Forgery Detection algorithm is used for cloning detection. Finally, the detection result provides information that the digital image is altered or not.
机译:数字图像在许多数字设备中构成数据的主要部分,并成为数字时代的主要信息载体。在网络犯罪中,数字图像作为法庭证据提供。作为法庭证据提交的数字图像的真实性是一个很大的问号。因为这些图片可以更改或修改。提出了一种数字设备取证调查平台中的证据检查与分析方法。这里给出了一种用于设备法医调查的克隆或复制移动伪造检测方法。分析作为法庭证据而获得的可疑文件。字节频率分析算法用于验证PNG格式的可疑文件。快速复制移动伪造检测算法用于克隆检测。最后,检测结果提供了数字图像是否被改变的信息。

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