A comprehensive survey on computer forensics: State-of-the-art, tools, techniques, challenges, and future directions
With the alarmingly increasing rate of cybercrimes worldwide, there is a dire need to combat
cybercrimes timely and effectively. Cyberattacks on computing machines leave certain …
cybercrimes timely and effectively. Cyberattacks on computing machines leave certain …
Shallow and deep feature fusion for digital audio tampering detection
Digital audio tampering detection can be used to verify the authenticity of digital audio.
However, most current methods use standard electronic network frequency (ENF) databases …
However, most current methods use standard electronic network frequency (ENF) databases …
Digital audio tampering detection based on deep temporal–spatial features of electrical network frequency
In recent years, digital audio tampering detection methods by extracting audio electrical
network frequency (ENF) features have been widely applied. However, most digital audio …
network frequency (ENF) features have been widely applied. However, most digital audio …
An end-to-end transfer learning framework of source recording device identification for audio sustainable security
Source recording device identification poses a significant challenge in the field of Audio
Sustainable Security (ASS). Most existing studies on end-to-end identification of digital …
Sustainable Security (ASS). Most existing studies on end-to-end identification of digital …
Spatial and temporal learning representation for end-to-end recording device identification
Deep learning techniques have achieved specific results in recording device source
identification. The recording device source features include spatial information and certain …
identification. The recording device source features include spatial information and certain …
Squeeze-and-excitation self-attention mechanism enhanced digital audio source recognition based on transfer learning
Recent advances in digital audio source recognition, particularly within judicial forensics
and intellectual property rights domains, have been significantly propelled by deep learning …
and intellectual property rights domains, have been significantly propelled by deep learning …
Source acquisition device identification from recorded audio based on spatiotemporal representation learning with multi-attention mechanisms
Source acquisition device identification from recorded audio aims to identify the source
recording device by analyzing the intrinsic characteristics of audio, which is a challenging …
recording device by analyzing the intrinsic characteristics of audio, which is a challenging …
Audio tampering forensics based on representation learning of enf phase sequence
This paper proposes an audio tampering detection method based on the ENF phase and BI-
LSTM network from the perspective of temporal feature representation learning. First, the …
LSTM network from the perspective of temporal feature representation learning. First, the …
Discriminative component analysis enhanced feature fusion of electrical network frequency for digital audio tampering detection
Research in the domain of digital audio tampering detection has advanced significantly with
the use of Electrical Network Frequency (ENF) analysis, presenting notable benefits for …
the use of Electrical Network Frequency (ENF) analysis, presenting notable benefits for …
POLIPHONE: A Dataset for Smartphone Model Identification from Audio Recordings
When dealing with multimedia data, source attribution is a key challenge from a forensic
perspective. This task aims to determine how a given content was captured, providing …
perspective. This task aims to determine how a given content was captured, providing …