基于电网络频率(ENF)技术在媒体取证中的应用综述

Ahmet Seyfullah Güneş, Saffet Vatansever
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引用次数: 1

摘要

电网频率(ENF)是指配电线路传输的电压频率,世界上大部分地区的标称值为50hz,美国绝大多数地区的标称值为60hz。ENF根据网络中供需功率的不平衡,在标称值附近的一定范围内连续振荡。这些随时间变化的ENF被称为ENF信号。虽然ENF信号可能在短时间间隔内表现出相似性,但在大时间间隔内则变得独特。在某些条件下,ENF信号本质上集成到音频和视频记录中。ENF信号在不同的网络中表现出不同的特征,并且随时间的变化具有唯一性,这使得研究人员可以推断出文件内容的完整性,以及音视频文件的位置和时间信息。在本研究中,讨论了如何在基于ENF的音频和视频取证分析范围内使用ENF检测文件内容和元数据中的修改。在此背景下,对文献中现有的ENF应用和潜在的ENF使用领域进行了检查和分析。
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A Review of Electrical Network Frequency (ENF) Based Applications in Media Forensics
Electricity network frequency (ENF) is the frequency of electrical voltage transmitted by power distribution lines, with a nominal value of 50 Hz in most of the world and a nominal value of 60 Hz in the vast majority of America. The ENF makes continuous oscillations within certain limits around the nominal value depending on the supply-demand power imbalance in the network. These time-dependent changes in ENF are called the ENF signal. Although the ENF signal may show similarities in short time intervals, it becomes unique in large time intervals. The ENF signal is intrinsically integrated into audio and video recordings under certain conditions. The fact that the ENF signal shows different characteristics in different networks and is unique depending on time allows researchers to make inferences about the file content integrity, together with the location and time information of the audio and video files. In this study, it is discussed how to detect modifications in the file content and metadata using ENF within the scope of ENF-based forensic analysis of audio and video. In this context, existing ENF applications in the literature and the potential ENF usage areas are examined and analyzed.
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