CT-ISG:Printer and Sensor Forensics

CT-ISG：打印机和传感器取证

• 批准号: 0524540
• 负责人: Jan Allebach
• 金额: --
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-15 至 2010-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0524540&HistoricalAwards=false
• 关键词: CT; ISG; Printer; Sensor; Forensics

Proposal ID: 0524540Title: CT-ISG: Printer and Sensor ForensicsPIs: Jan P. Allebach, George T. Chiu, and Edward J. DelpThis research addresses the need for a means to assure the authenticity of digital media consisting of image content. The work investigates both intrinsic signatures that are an inherent characteristic of the imaging device and extrinsic signatures that can be introduced by the manufacturer with the possibility including additional user-controlled information. The intrinsic signature represents artifacts that are due to optical, electrical, or mechanical limitations of the imaging device. The extrinsic signature is generated by modulating parameters that control the intrinsic signature of the device. The same algorithms that detect the intrinsic signature will form the basis for detecting and decoding the extrinsic signature.This research will result in a new understanding of the relation between imaging devices and artifacts produced by those devices. It will lead to new knowledge regarding image analysis for feature extraction and the design of classifiers based on those features. In calculating error control codes and channel capacities for extrinsic signatures, it will extend the application of classical communications theory to a new domain. This work will be of direct benefit to society by providing law enforcement and government agents new tools for combating counterfeiting, forgery, and other criminal and terrorist activities.

提案ID：0524540标题：CT-ISG：打印机和传感器取证PI：Jan P. Allebach、乔治T. Chiu和Edward J. Delp这项研究解决了对一种方法的需求，以确保由图像内容组成的数字媒体的真实性。这项工作调查的内在签名，是一个固有的特性的成像设备和外在的签名，可以由制造商引入的可能性，包括额外的用户控制的信息。固有签名表示由于成像设备的光学、电气或机械限制而引起的伪影。通过调制控制器件的固有签名的参数来生成非固有签名。检测固有特征的算法将成为检测和解码非固有特征的基础，这项研究将导致对成像设备与这些设备产生的伪影之间关系的新理解。这将导致新的知识，图像分析的特征提取和设计的分类器的基础上，这些功能。在计算外部签名的差错控制码和信道容量方面，它将经典通信理论的应用扩展到一个新的领域。这项工作将直接造福于社会，为执法和政府机构提供打击假冒、伪造和其他犯罪及恐怖活动的新工具。