TY - GEN
T1 - Forensic Analysis of Copy-Move Attack with Robust Duplication Detection
AU - Studiawan, Hudan
AU - Salimi, Rahmat Nazali
AU - Ahmad, Tohari
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Copy-move is one type of attack to forge a digital image where the attacker duplicates several areas of the image and paste them in different places to conceal a particular object on the original image. After the forgery, advanced methods such as noise addition and blurring, are often performed in the forged image to make it more challenging to recognize the attack. Therefore, it is required to do a preprocessing before conducting the detection. The preprocessing can be eliminated using a copy-move detection that is more resistant to noise addition and blurring. This paper proposes a new, flexible, and robust method that perform forensic analysis of both regular and advanced copy-move using modification and addition from two methods. The first method is designed to identify a regular copy-move attack, while the second one is effective for an advanced attack. The proposed method combines these two methods, can adapt to the forged image condition, and no preprocessing is required.
AB - Copy-move is one type of attack to forge a digital image where the attacker duplicates several areas of the image and paste them in different places to conceal a particular object on the original image. After the forgery, advanced methods such as noise addition and blurring, are often performed in the forged image to make it more challenging to recognize the attack. Therefore, it is required to do a preprocessing before conducting the detection. The preprocessing can be eliminated using a copy-move detection that is more resistant to noise addition and blurring. This paper proposes a new, flexible, and robust method that perform forensic analysis of both regular and advanced copy-move using modification and addition from two methods. The first method is designed to identify a regular copy-move attack, while the second one is effective for an advanced attack. The proposed method combines these two methods, can adapt to the forged image condition, and no preprocessing is required.
KW - Copy-move attack
KW - Duplication detection
KW - Image forensic
UR - http://www.scopus.com/inward/record.url?scp=85105878777&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-73689-7_39
DO - 10.1007/978-3-030-73689-7_39
M3 - Conference contribution
AN - SCOPUS:85105878777
SN - 9783030736880
T3 - Advances in Intelligent Systems and Computing
SP - 404
EP - 413
BT - Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2020
A2 - Abraham, Ajith
A2 - Ohsawa, Yukio
A2 - Gandhi, Niketa
A2 - Jabbar, M. A.
A2 - Haqiq, Abdelkrim
A2 - McLoone, Seán
A2 - Issac, Biju
PB - Springer Science and Business Media Deutschland GmbH
T2 - 12th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2020 and 16th International Conference on Information Assurance and Security, IAS 2020
Y2 - 15 December 2020 through 18 December 2020
ER -