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Hierarchical malware detection, family identification, and variant attribution using CNN-based hybrid models on grayscale executable images. [PDF]
Saxena M, Das T.
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New evidence for Early Pleistocene use of fire at Wonderwerk Cave (South Africa). [PDF]
Marin-Monfort MD +11 more
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SENTINEL-DL: a forensic framework for device attribution using motion sensor data. [PDF]
Buriro A +5 more
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Legal Aspects of Pediatric Dentistry in India: A Narrative Review. [PDF]
Mistry LN +5 more
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A review of digital image forensics
Computers & Electrical Engineering, 2020Abstract The manipulation of digital images has become very common in recent years. Thus, it is possible to cut, clone, and resize an image very quickly, which makes it challenging to validate the integrity and authenticity of images. Furthermore, digital images can be used by forensic experts in their forensic investigations.
William D. Ferreira +3 more
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Digital Forensics: Focusing on Image Forensics
2019 7th International Symposium on Digital Forensics and Security (ISDFS), 2019The world is continuously developing, and people's needs are increasing as well; so too are the number of thieves increasing, especially electronic thieves. For that reason, companies and individuals are always searching for experts who will protect them from thieves, and these experts are called digital investigators. Digital forensics has a number of
Rayan Sulaiman Khalaf, Asaf Varol
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Tradeoffs Between Forensics and Anti-Forensics of Digital Images
International Journal of Rough Sets and Data Analysis, 2017Over past few years, we are the spectators of the evolution in the field of information technology, telecommunication and networking. Due to the advancement of smart phones, easy and inexpensive access to the internet and popularity of social networking, capture and use of digital images has increased drastically.
Priya Makarand Shelke +1 more
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Smoothing identification for digital image forensics
Multimedia Tools and Applications, 2018With the explosive development in digital techniques, ordinary people without professional training are capable to edit digital images with applications.
Feng Ding 0007 +3 more
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