A passive blind forgery detection technique to identify frame duplication attack

2020 ◽  
Vol 79 (11-12) ◽  
pp. 8107-8123 ◽  
Author(s):  
Jayashree Kharat ◽  
Sangeeta Chougule
Keyword(s):  
Detection Technique ◽  
Forgery Detection ◽  
Frame Duplication

scholarly journals CLIFD: A novel image forgery detection technique using digital signatures

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Sahib Khan ◽  
◽  
Arslan Ali ◽  
Keyword(s):  
Digital Signature ◽  
Digital Signatures ◽  
Detection Technique ◽  
Forgery Detection ◽  
Image Forgery ◽  
Signature Generation ◽  
Image Forgery Detection ◽  
Substitution Mechanism ◽  
Different Types ◽  
Message Digest

The paper presents a new image forgery detection technique. The proposed technique uses digital signatures; it generates a digital signature for each column and embeds the signature in the least significant bits of each corresponding column’s selected pixels. The message digest algorithm 5 (MD5) is used for digital signature generation, and the fourleast-significant-bit substitution mechanism is used to embed the signature in the designated pixels. The embedding of the digital signature in the selected pixel remains completely innocent and undetectable for the human visual system. The proposed forgery detection technique has demonstrated significant results against different types of forgeries introduced to digital images and successfully detected and pointed out the forged columns.

scholarly journals An Improved Fingerprinting Algorithm for Detection of Video Frame Duplication Forgery

2012 ◽  
Vol 4 (3) ◽  
pp. 20-32 ◽  
Author(s):  
Yongjian Hu ◽  
Chang-Tsun Li ◽  
Yufei Wang ◽  
Bei-bei Liu
Keyword(s):  
Computational Efficiency ◽  
State Of The Art ◽  
Experimental Results ◽  
Video Frame ◽  
Detection Accuracy ◽  
Forgery Detection ◽  
Detection Algorithms ◽  
Dct Coefficients ◽  
Duplication Detection ◽  
Frame Duplication

Frame duplication is a common way of digital video forgeries. State-of-the-art approaches of duplication detection usually suffer from heavy computational load. In this paper, the authors propose a new algorithm to detect duplicated frames based on video sub-sequence fingerprints. The fingerprints employed are extracted from the DCT coefficients of the temporally informative representative images (TIRIs) of the sub-sequences. Compared with other similar algorithms, this study focuses on improving fingerprints representing video sub-sequences and introducing a simple metric for the matching of video sub-sequences. Experimental results show that the proposed algorithm overall outperforms three related duplication forgery detection algorithms in terms of computational efficiency, detection accuracy and robustness against common video operations like compression and brightness change.

Copy-move forgery detection technique based on discrete cosine transform blocks features

2020 ◽  
Author(s):  
Esteban Alejandro Armas Vega ◽  
Edgar González Fernández ◽  
Ana Lucila Sandoval Orozco ◽  
Luis Javier García Villalba
Keyword(s):  
Discrete Cosine Transform ◽  
Detection Technique ◽  
Forgery Detection ◽  
Cosine Transform ◽  
Copy Move Forgery Detection

scholarly journals A Robust and Efficient Copy-Move Forgery Detection Technique based on SIFT and SVD

2017 ◽  
Vol 10 (14) ◽  
pp. 1-10
Author(s):  
Rajeev Rajkumar ◽  
Sudipta Roy ◽  
Kh. Manglem Singh ◽  
◽  
◽  
...  
Keyword(s):  
Detection Technique ◽  
Forgery Detection ◽  
Copy Move Forgery Detection
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