Zobrazeno 1 - 10
of 524
pro vyhledávání: '"Multimedia forensics"'
Autor:
Lyu, Siwei
Publikováno v:
Organizational Cybersecurity Journal: Practice, Process and People, 2024, Vol. 4, Issue 1, pp. 1-18.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/OCJ-08-2022-0014
Publikováno v:
EURASIP Journal on Information Security, Vol 2024, Iss 1, Pp 1-12 (2024)
Abstract The forensic analysis of digital videos is becoming increasingly relevant to deal with forensic cases, propaganda, and fake news. The research community has developed numerous forensic tools to address various challenges, such as integrity v
Externí odkaz:
https://doaj.org/article/99693f1981ad44038fd135524d6acc7a
Autor:
Siwei Lyu
Publikováno v:
Organizational Cybersecurity Journal, Vol 4, Iss 1, Pp 1-18 (2024)
Purpose – Recent years have witnessed an unexpected and astonishing rise of AI-generated (AIGC), thanks to the rapid advancement of technology and the omnipresence of social media. AIGCs created to mislead are more commonly known as DeepFakes, whic
Externí odkaz:
https://doaj.org/article/27512ce254b24804ad8afe25521affc2
Autor:
Omran Alamayreh, Carmelo Fascella, Sara Mandelli, Benedetta Tondi, Paolo Bestagini, Mauro Barni
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-23 (2024)
Abstract In the last few years, research on the detection of AI-generated videos has focused exclusively on detecting facial manipulations known as deepfakes. Much less attention has been paid to the detection of artificial non-facial fake videos. In
Externí odkaz:
https://doaj.org/article/cefe58b0005f4b639712cca245c1b0af
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
Video tampering detection is a crucial research area that aims to identify and mitigate the manipulation and tampering of video content. With the widespread use of videos in various applications, ensuring the integrity and truthfulness of video data
Externí odkaz:
https://doaj.org/article/2abcbd1ed39f4a0e9eb61155964d97a7
Autor:
Abdullah Ayub Khan, Yen-Lin Chen, Fahima Hajjej, Aftab Ahmed Shaikh, Jing Yang, Chin Soon Ku, Lip Yee Por
Publikováno v:
Egyptian Informatics Journal, Vol 27, Iss , Pp 100502- (2024)
Owing to the major development of social media platforms, the usage of technological adaptation increases by means of editing software tools. Posting media in social communication environments has become one of our common daily routines. Before posti
Externí odkaz:
https://doaj.org/article/828f57fdeb8f4fcc9d45f1af9e9bbcb7
Autor:
Daniele Baracchi, Giulia Boato, Francesco De Natale, Massimo Iuliani, Andrea Montibeller, Cecilia Pasquini, Alessandro Piva, Dasara Shullani
Publikováno v:
IEEE Access, Vol 12, Pp 59930-59952 (2024)
Countering image and video manipulations is getting more and more relevant in several fields such as investigation, intelligence and forensics. Multimedia forensics researchers keep developing new tools and updating available detectors to discriminat
Externí odkaz:
https://doaj.org/article/3bf3c01dac624e67a72af0124e94c478
Publikováno v:
IEEE Access, Vol 12, Pp 9308-9320 (2024)
The Electric Network Frequency (ENF) serves as a simple means to verify the authenticity of audio recordings. ENF variations contain crucial information, acting as a distinctive “fingerprint” when electronic devices are connected or located near
Externí odkaz:
https://doaj.org/article/0ffb75fd24d5472398ba446118ae0970
Autor:
Quentin Bammey
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 1-9 (2024)
Synthetically-generated images are getting increasingly popular. Diffusion models have advanced to the stage where even non-experts can generate photo-realistic images from a simple text prompt. They expand creative horizons but also open a Pandora's
Externí odkaz:
https://doaj.org/article/6dfafa784c0147699d3e59ca6f679ce4
Autor:
Abdul Qadir, Rabbia Mahum, Mohammed A. El-Meligy, Adham E. Ragab, Abdulmalik AlSalman, Muhammad Awais
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e25757- (2024)
The creation and manipulation of synthetic images have evolved rapidly, causing serious concerns about their effects on society. Although there have been various attempts to identify deep fake videos, these approaches are not universal. Identifying t
Externí odkaz:
https://doaj.org/article/aaad587739b449a5a8c6ade95e172fab