An approach to detect video frame deletion under anti-forensics

Yao, Haichao; Ni, Rongrong; Zhao, Yao

doi:10.1007/s11554-019-00865-y

Cited by 14 publications

(3 citation statements)

References 18 publications

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“…Yao et al [29] advanced the frame interpolation technique, in which the adaptive overlapped block motion compensation (AOBMC), as well as global and local residual features, are used to detect deleted frames. However, there is a high degree of time complexity.…”

Section: Temporal Domain Forgery Detectionmentioning

confidence: 99%

A survey on passive digital video forgery detection techniques

Jegaveerapandian,

Rani,

Periyaswamy

et al. 2023

IJECE

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Digital media devices such as smartphones, cameras, and notebooks are becoming increasingly popular. Through digital platforms such as Facebook, WhatsApp, Twitter, and others, people share digital images, videos, and audio in large quantities. Especially in a crime scene investigation, digital evidence plays a crucial role in a courtroom. Manipulating video content with high-quality software tools is easier, which helps fabricate video content more efficiently. It is therefore necessary to develop an authenticating method for detecting and verifying manipulated videos. The objective of this paper is to provide a comprehensive review of the passive methods for detecting video forgeries. This survey has the primary goal of studying and analyzing the existing passive techniques for detecting video forgeries. First, an overview of the basic information needed to understand video forgery detection is presented. Later, it provides an in-depth understanding of the techniques used in the spatial, temporal, and spatio-temporal domain analysis of videos, datasets used, and their limitations are reviewed. In the following sections, standard benchmark video forgery datasets and the generalized architecture for passive video forgery detection techniques are discussed in more depth. Finally, identifying loopholes in existing surveys so detecting forged videos much more effectively in the future are discussed.

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Section: Temporal Domain Forgery Detectionmentioning

confidence: 99%

A survey on passive digital video forgery detection techniques

Jegaveerapandian,

Rani,

Periyaswamy

et al. 2023

IJECE

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“…Subsequently, the localization problem of interpolated frames is discussed under real-world scenarios by employing Tchebichef moments (Ding, Zhu, Li, Li, & Yang, 2018). Recently, Yao et al (Yao, Ni, & Zhao, 2019), as a pioneer, makes use of the MCFI strategy to invalidate inter-frame continuity based video forensics detection, and then present a global and local joint feature to attack this anti-forensic strategy. Besides, a detector is further proposed to judge the absence or presence of MCFI forgery in an environment of unknown MCFI techniques (Ding, Li, Xia, He, & Yang, 2019).…”

Section: Introductionmentioning

confidence: 99%

Identification of Interpolated Frames by Motion-Compensated Frame-Interpolation via Measuring Irregularity of Optical Flow

Ding

Huang

Zhang

et al. 2022

International Journal of Digital Crime and Forensics

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Motion-compensated frame-interpolation (MCFI), synthesize intermediate frames between input frames guided by estimated motion, can be employed to falsify high bit-rate videos or high frame-rate videos with different frame-rates. Although existing MCFI identification methods have obtained satisfactory results, they are seriously degraded by stronger compression. Therefore, to conquer this issue, a blind forensics method is proposed to identify the adopted MCFI methods by considering the irregularities of optical flow produced by various MCFIs. In this paper, a set of compact features are constructed from the motion-aligned frame difference-weighted histogram of local binary pattern on the basis of optical flow (MAFD-WHLBP). Experimental results show that the proposed approach outperforms existing MCFI detectors under stronger compression.

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“…H. Yao et al [46] discusses anti-forensic techniques applied to the deletion of frames in digital videos.…”

mentioning

confidence: 99%

Systematic Review: Anti-Forensic Computer Techniques

González Arias,

Bermejo Higuera,

Rainer Granados

et al. 2024

Applied Sciences

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The main purpose of anti-forensic computer techniques, in the broadest sense, is to hinder the investigation of a computer attack by eliminating traces and preventing the collection of data contained in a computer system. Nowadays, cyber-attacks are becoming more and more frequent and sophisticated, so it is necessary to understand the techniques used by hackers to be able to carry out a correct forensic analysis leading to the identification of the perpetrators. Despite its importance, this is a poorly represented area in the scientific literature. The disparity of the existing works, together with the small number of articles, makes it challenging to find one’s way around the vast world of computer forensics. This article presents a comprehensive review of the existing scientific literature on anti-forensic techniques, mainly DFIR (digital forensics incident response), organizing the studies according to their subject matter and orientation. It also presents key ideas that contribute to the understanding of this field of forensic science and details the shortcomings identified after reviewing the state of the art.

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An approach to detect video frame deletion under anti-forensics

Cited by 14 publications

References 18 publications

A survey on passive digital video forgery detection techniques

A survey on passive digital video forgery detection techniques

Identification of Interpolated Frames by Motion-Compensated Frame-Interpolation via Measuring Irregularity of Optical Flow

Systematic Review: Anti-Forensic Computer Techniques

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