Zobrazeno 1 - 7
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pro vyhledávání: '"Yijun Quan"'
Publikováno v:
IEEE Access, Vol 8, Pp 168309-168320 (2020)
Sensor pattern noise (SPN) has been extensively studied in the scientific community and has found its applications in many practical scenarios in the law-enforcement sector. However, the emergence of photo-sharing social networking sites (SNSs) poses
Externí odkaz:
https://doaj.org/article/1829ee5f53b74355ab0dd99777eb9291
Publikováno v:
IEEE Access, Vol 7, Pp 87288-87302 (2019)
Clustering the images shared through social network (SN) platforms according to the acquisition cameras embedded in smartphones is regarded as a significant task in forensic investigations of cybercrimes. The sensor pattern noise (SPN) caused by the
Externí odkaz:
https://doaj.org/article/3d8a3f8c5f9b437096658d2d22f2e128
Publikováno v:
IEEE Access, Vol 8, Pp 168309-168320 (2020)
Sensor pattern noise (SPN) has been extensively studied in the scientific community and has found its applications in many practical scenarios in the law-enforcement sector. However, the emergence of photo-sharing social networking sites (SNSs) poses
Publikováno v:
ICME
Device fingerprints like sensor pattern noise (SPN) are widely used for provenance analysis and image authentication. Over the past few years, the rapid advancement in digital photography has greatly reshaped the pipeline of image capturing process o
Autor:
Chang-Tsun Li, Yijun Quan
Photo Response Non-Uniformity (PRNU) has been used as a powerful device fingerprint for image forgery detection because image forgeries can be revealed by finding the absence of the PRNU in the manipulated areas. The correlation between an image's no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86388daee441089261b2a2e4b5fa2974
http://arxiv.org/abs/2006.11539
http://arxiv.org/abs/2006.11539
Publikováno v:
IEEE Access, Vol 7, Pp 87288-87302 (2019)
Clustering the images shared through social network (SN) platforms according to the acquisition cameras embedded in smartphones is regarded as a significant task in forensic investigations of cybercrimes. The sensor pattern noise (SPN) caused by the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd8a7842c3533a2f1a988684e6df6f25
http://hdl.handle.net/11585/692166
http://hdl.handle.net/11585/692166
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811366604
AusDM
AusDM
As a feasible device fingerprint, sensor pattern noise (SPN) has been proven to be effective in the provenance analysis of digital images. However, with the rise of social media, millions of images are being uploaded to and shared through social medi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4358409a1aef2ac6d4da566bf9eec6e6
http://wrap.warwick.ac.uk/136578/7/WRAP-provenance-analysis-instagram-photos-Li-2018.pdf
http://wrap.warwick.ac.uk/136578/7/WRAP-provenance-analysis-instagram-photos-Li-2018.pdf