课题基金 / 基金详情

I-Corps: Development of an Audio Forensic Analysis Tool

I-Corps: Development of an Audio Forensic Analysis Tool
I-Corps:音频取证分析工具的开发
批准号:
1606577
负责人:
Hafiz Malik
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-01-01 至 2017-03-31

项目摘要

项目成果

Hafiz Malik的其他基金

相似基金

相关文献

中文摘要
翻译
数字多媒体(图像、音频、视频)作为证据的使用在包括法律的诉讼和执法在内的多种民事应用中迅速增长。鉴于数字信息可利用广泛可用的编辑工具轻易复制和篡改,因此,确认数字证据的真实性和完整性是一项复杂而具有挑战性的任务。特别是,在没有帮助数据的情况下(即,数字水印),并且如果唯一的输入是媒体本身,则认证对数字取证提出了独特的问题。到目前为止,现有的最先进的技术无法将给定的数字录音唯一地链接到“麦克风”,将音频录音链接到制作它的位置,或者检测反取证处理的痕迹。建议的音频法医分析工具,使法医分析师提供权威的答案,基本的法医调查问题。 该项目旨在展示音频法证分析工具的有效性,能够检测数字音频记录中的伪造。所提出的工具依赖于声学线索,麦克风非线性痕迹,和后处理的数字音频记录中留下的文物。所提出的工具使用统计数据建模和特征提取技术来捕获这些指纹,并使用它们将给定的记录与“该”采集设备和“该”声学环境相关联。该团队认为,所提出的音频取证分析工具在成功商业化后,可以为法医、传统媒体、新闻媒体、社交媒体和执法人员提供一个非常强大、计算效率高、可扩展且可靠的在线执行工具。(以及离线)取证分析,以确定数字媒体对象的真实性,定位数字媒体对象中的伪造(如果有的话)。
英文摘要
The use of digital multimedia (images, audio, & video) as evidence is rapidly growing in multiple civic applications, including legal proceedings and law enforcement. Verifying the authenticity and integrity of digital evidence is a complex and a challenging task given the ease with which digital information can be copied and altered using widely available editing tools. In particular, in the absence of helping data (i.e., digital watermarks) and if the only input is the media itself, authentication poses unique problems for digital forensics. Until now existing state-of-the-art is unable to uniquely link a given digital recording to "the" microphone, link an audio recording to the location it was made, or detect traces of anti-forensic processing. The proposed audio forensic analysis tool enables a forensics analyst to provide authoritative answers to basic forensic investigation questions. The project aims to demonstrate effectiveness of the audio forensic analysis tool capable to detecting forgeries in digital audio recordings. The proposed tool relies on acoustic cues, microphone nonlinearity traces, and post-processing artifacts left in the digital audio recording. The proposed tool uses statistical data modeling and feature extraction techniques to capture these fingerprints, and use them for linking a given recording to "the" acquisition device and to "the" acoustic environment. This team believes that the proposed audio forensic analysis tool, when successfully commercialized, could provide forensic examiners, traditional media, news outlets, social media, and law enforcement personnel a very powerful, computationally efficient, scalable, and reliable tool to perform online (as well as offline) forensics analysis, to determine authenticity of the digital media object, localize forgery (if any) in the digital media object.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
I-Corps: Liveness detection and integrity authentication of digital audio
SaTC: CORE: Small: Linking2Source: Security of In-Vehicle Networks via Source Identification
SaTC: CORE: Small: Collaborative: ForensicExaminer: Testbed for Benchmarking Digital Audio Forensic Algorithms
EAGER: Model Driven Framework for Audio Forensics
国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: