Anti-forensics of contrast enhancement in digital images

Cao, Gang; Zhao, Yao; Ni, Rongrong; Tian, Huawei

doi:10.1145/1854229.1854237

Cited by 72 publications

(62 citation statements)

References 9 publications

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“…As in the previous work in [1,3,4], these images were enhanced by power law transformation (γ correction):…”

Section: Methodsmentioning

confidence: 99%

“…Most importantly, as the histogram of image can be easily tampered, this kind of histogram-based forensic methods will fail if the traces left on the image histogram have been concealed by attackers. For example, Cao et al remove the peak and gap artifacts of histogram introduced by contrast enhancement using local random dithering [3], which essentially adds Gaussian noise with appropriate variance onto the contrast enhanced image. In [4], Barni et al also propose a universal anti-forensic technique against histogram-based contrast enhancement detector.…”

Section: Histogram-based Detection Of Contrast Enhancementmentioning

confidence: 99%

“…To investigate the performance of the proposed algorithm under antiforensic scenario, two anti-forensic schemes proposed in [3] and [4] are used.…”

Section: Performance Under Anti-forensic Scenariomentioning

confidence: 99%

“…For the method in [3], we added Gaussian noise N (0, σ 2 ) to each channel of the contrast enhanced image. Detection results for image blocks sized 128 × 128 pixels are illustrated in Fig.…”

Section: Performance Under Anti-forensic Scenariomentioning

confidence: 99%

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Exposing image forgery through the detection of contrast enhancement

Lin

2013

2013 IEEE International Conference on Image Processing

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“…As in the previous work in [1,3,4], these images were enhanced by power law transformation (γ correction):…”

Section: Methodsmentioning

confidence: 99%

Section: Histogram-based Detection Of Contrast Enhancementmentioning

confidence: 99%

“…To investigate the performance of the proposed algorithm under antiforensic scenario, two anti-forensic schemes proposed in [3] and [4] are used.…”

Section: Performance Under Anti-forensic Scenariomentioning

confidence: 99%

Section: Performance Under Anti-forensic Scenariomentioning

confidence: 99%

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Exposing image forgery through the detection of contrast enhancement

Lin

2013

2013 IEEE International Conference on Image Processing

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“…In order to achieve these goals, there are various tools and techniques are introduced (Caloyannides, 2009;Cao, Zhao, Ni, & Tian, 2010;Forte & Power, 2007;Harris, 2006;Rekhis & Boudriga, 2010b;Sartin, 2006;Shanmugam et al, 2011). The sub-sections below details the techniques used for anti-forensics.…”

Section: Fundamentals Of Anti-forensic Techniquesmentioning

confidence: 99%

Attack Graph Analysis for Network Anti-Forensics

Chandran

Yan

2014

International Journal of Digital Crime and Forensics

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The development of technology in computer networks has boosted the percentage of cyber-attacks today. Hackers are now able to penetrate even the strongest IDS and firewalls. With the help of anti-forensic techniques, attackers defend themselves, from being tracked by destroying and distorting evidences. To detect and prevent network attacks, the main modus of operandi in network forensics is the successful implementation and analysis of attack graph from gathered evidences. This paper conveys the main concepts of attack graphs, requirements for modeling and implementation of graphs. It also contributes the aspect of incorporation of anti-forensic techniques in attack graph which will help in analysis of the diverse possibilities of attack path deviations and thus aids in recommendation of various defense strategies for better security. To the best of our knowledge, this is the first time network anti-forensics has been fully discussed and the attack graphs are employed to analyze the network attacks. The experimental analysis of anti-forensic techniques using attack graphs were conducted in the proposed test-bed which helped to evaluate the model proposed and suggests preventive measures for the improvement of security of the networks.

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Anti‐Forensics of Multimedia Data and Countermeasures

Ho¹,

Li²

2015

Handbook of Digital Forensics of Multimedia Data and Devices

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Anti-forensics of contrast enhancement in digital images

Cited by 72 publications

References 9 publications

Exposing image forgery through the detection of contrast enhancement

Exposing image forgery through the detection of contrast enhancement

Attack Graph Analysis for Network Anti-Forensics

Anti‐Forensics of Multimedia Data and Countermeasures

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