Digital Image Forensic Approach to Counter the JPEG Anti-Forensic Attacks
Rapid advancement in digital image processing tools and software’s has made it extremely simple to manipulate the digital images without leaving any footprints. It becomes a hot issue about the security and threat to society with increasing growth of social media. JPEG compression format...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9311126/ |
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| author | Amit Kumar Gurinder Singh Ankush Kansal Kulbir Singh |
| author_facet | Amit Kumar Gurinder Singh Ankush Kansal Kulbir Singh |
| author_sort | Amit Kumar |
| collection | DOAJ |
| description | Rapid advancement in digital image processing tools and software’s has made it extremely simple to manipulate the digital images without leaving any footprints. It becomes a hot issue about the security and threat to society with increasing growth of social media. JPEG compression format has been widely used in most of the digital cameras. The investigation of JPEG compression footprints can play an important role in image tampering detection. In this paper, a novel method is proposed to detect the JPEG compression. The proposed forensic scheme comprises of two steps i.e. selection of target difference image and generation of second-order statistical features by evaluating the Markov Transition Probability Matrices (MTPMs) for both intra and inter-block DCT domain. Finally, the resultant feature is used to train the SVM classifier for classification purposes. The experiment results on UCID and BOSSBase datasets show that the proposed forensic technique based on MTPM is capable of detecting the JPEG compression traces even in the presence of anti-forensic attacks. |
| format | Article |
| id | doaj-art-1c57210eeca64f6d8435b6d9ae71882e |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-1c57210eeca64f6d8435b6d9ae71882e2025-01-15T00:01:11ZengIEEEIEEE Access2169-35362021-01-0194364437510.1109/ACCESS.2020.30482469311126Digital Image Forensic Approach to Counter the JPEG Anti-Forensic AttacksAmit Kumar0https://orcid.org/0000-0001-5518-1476Gurinder Singh1https://orcid.org/0000-0002-1325-9164Ankush Kansal2https://orcid.org/0000-0002-3975-354XKulbir Singh3https://orcid.org/0000-0001-8070-3395Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology (TIET), Patiala, IndiaDepartment of Computer Science, IIT, Ropar, Rupnagar, IndiaDepartment of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology (TIET), Patiala, IndiaDepartment of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology (TIET), Patiala, IndiaRapid advancement in digital image processing tools and software’s has made it extremely simple to manipulate the digital images without leaving any footprints. It becomes a hot issue about the security and threat to society with increasing growth of social media. JPEG compression format has been widely used in most of the digital cameras. The investigation of JPEG compression footprints can play an important role in image tampering detection. In this paper, a novel method is proposed to detect the JPEG compression. The proposed forensic scheme comprises of two steps i.e. selection of target difference image and generation of second-order statistical features by evaluating the Markov Transition Probability Matrices (MTPMs) for both intra and inter-block DCT domain. Finally, the resultant feature is used to train the SVM classifier for classification purposes. The experiment results on UCID and BOSSBase datasets show that the proposed forensic technique based on MTPM is capable of detecting the JPEG compression traces even in the presence of anti-forensic attacks.https://ieeexplore.ieee.org/document/9311126/JPEG compressiondigital image forensicsMarkov transition probability matrices (MTPMs)discrete cosine transform (DCT) |
| spellingShingle | Amit Kumar Gurinder Singh Ankush Kansal Kulbir Singh Digital Image Forensic Approach to Counter the JPEG Anti-Forensic Attacks IEEE Access JPEG compression digital image forensics Markov transition probability matrices (MTPMs) discrete cosine transform (DCT) |
| title | Digital Image Forensic Approach to Counter the JPEG Anti-Forensic Attacks |
| title_full | Digital Image Forensic Approach to Counter the JPEG Anti-Forensic Attacks |
| title_fullStr | Digital Image Forensic Approach to Counter the JPEG Anti-Forensic Attacks |
| title_full_unstemmed | Digital Image Forensic Approach to Counter the JPEG Anti-Forensic Attacks |
| title_short | Digital Image Forensic Approach to Counter the JPEG Anti-Forensic Attacks |
| title_sort | digital image forensic approach to counter the jpeg anti forensic attacks |
| topic | JPEG compression digital image forensics Markov transition probability matrices (MTPMs) discrete cosine transform (DCT) |
| url | https://ieeexplore.ieee.org/document/9311126/ |
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