CLIFD : a novel image forgery detection technique using digital signatures

Joint Authors

Ali, Arslan
Khan, Sahib

Source

Journal of Engineering Research

Issue

Vol. 9, Issue 1 (31 Mar. 2021), pp.168-175, 8 p.

Publisher

Kuwait University Academic Publication Council

Publication Date

2021-03-31

Country of Publication

Kuwait

No. of Pages

8

Main Subjects

Information Technology and Computer Science

Abstract EN

This paper is presenting a new image forgery detection technique.

The proposed technique makes use of digital signatures, it generates a digital signature for each column and embeds the signature in the least significant bits of selected pixels of each corresponding column.

The message digest five algorithm is used for digital signature generation and four least significant bits 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.

American Psychological Association (APA)

Khan, Sahib& Ali, Arslan. 2021. CLIFD : a novel image forgery detection technique using digital signatures. Journal of Engineering Research،Vol. 9, no. 1, pp.168-175.
https://search.emarefa.net/detail/BIM-1494761

Modern Language Association (MLA)

Khan, Sahib& Ali, Arslan. CLIFD : a novel image forgery detection technique using digital signatures. Journal of Engineering Research Vol. 9, no. 1 (Mar. 2021), pp.168-175.
https://search.emarefa.net/detail/BIM-1494761

American Medical Association (AMA)

Khan, Sahib& Ali, Arslan. CLIFD : a novel image forgery detection technique using digital signatures. Journal of Engineering Research. 2021. Vol. 9, no. 1, pp.168-175.
https://search.emarefa.net/detail/BIM-1494761

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 175

Record ID

BIM-1494761