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Applications of Multimedia Forensics in Law Enforcement

机译:多媒体取证在执法中的应用

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摘要

Similar to people identification through human fingerprint analysis, multimedia forensics through device fingerprint analysis has attracted great attention among scientists, practitioners and law enforcement agencies around the world in the past decade. Device information, such as model and serial number, stored in the EXIF are useful for identifying the devices responsible for the creation of the images in question. However, stored separately from the content, the metadata in the EXIF can be removed and manipulated at ease. Device fingerprints deposited in the content by the device provide a more reliable alternative to aid forensic investigations. The hardware or software of each stage in the digital image acquisition process leaves artifects in the content that can be used as device fingerprints to identify the source devices. This talk will start with a brief introduction to various types of device fingerprints, their applications and limitations. A more focused presentation on the application of sensor pattern noise, as a form of device fingerprint, to source device identification, source device verification common source inference, content authentication and source-oriented image clustering will then be delivered.
机译:与通过人类指纹分析进行人员识别相似,通过设备指纹分析进行多媒体取证在过去十年中引起了全球科学家,从业人员和执法机构的极大关注。 EXIF中存储的设备信息(例如型号和序列号)对于识别负责创建相关图像的设备很有用。但是,与内容分开存储的EXIF中的元数据可以轻松删除和操纵。设备在内容中存放的设备指纹提供了更可靠的替代方法,以协助法医调查。数字图像采集过程中每个阶段的硬件或软件都会在内容中留下伪影,这些伪影可用作设备指纹来标识源设备。本讲座将首先简要介绍各种类型的设备指纹,其应用和局限性。然后,将重点介绍作为设备指纹形式的传感器模式噪声在源设备标识,源设备验证,公共源推断,内容认证和面向源的图像聚类中的应用。

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