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The task of content-type detection -- which entails identifying the data encoded in an arbitrary byte sequence -- is critical for operating systems, development, reverse engineering environments, and a variety of security applications.
“File man page from PDP-11, 1973,” https://www.darwinsys.com/file/file-v4.1.txt
1973
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S. Fitzgerald, G. Mathews, C. Morris, and O. Zhulyn, “Using NLP techniques for file fragment classification,” Digital Investigation , vol. 9, pp. S44–S49, 2012
2012
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N. L. Beebe, L. A. Maddox, L. Liu, and M. Sun, “Sceadan: Using concatenated n-gram vectors for improved file and data type classification,” IEEE Transactions on Information Forensics and Security , vol. 8, no. 9, pp. 1519–1530, 2013
2013
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H.-T. Cheng, L. Koc, J. Harmsen, T. Shaked, T. Chandra, H. Aradhye, G. Anderson, G. Corrado, W. Chai, M. Ispir et al. , “Wide & deep learning for recommender systems,” in Proceedings of the 1st workshop on deep learning for recommender systems , 2016, pp. 7–10
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F. Wang, T.-T. Quach, J. Wheeler, J. B. Aimone, and C. D. James, “Sparse coding for n-gram feature extraction and training for file fragment classification,” IEEE Transactions on Information Forensics and Security , vol. 13, no. 10, pp. 2553–2562, 2018
2018
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S. Yun, D. Han, S. J. Oh, S. Chun, J. Choe, and Y. Yoo, “CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features,” in ICCV , 2019
2019
Cited alongside, same era.
G. Mittal, P. Korus, and N. Memon, “FiFTy: large-scale file fragment type identification using convolutional neural networks,” IEEE Transactions on Information Forensics and Security , vol. 16, pp. 28–41, 2020
2020
Cited alongside, same era.
L. Koch, S. Oesch, A. Chaulagain, M. Adkisson, S. Erwin, and B. Weber, “Toward the detection of polyglot files,” in Proceedings of the 15th Workshop on Cyber Security Experimentation and Test , 2022, pp. 120–128
2022
Cited alongside, same era.
E. Bursztein and Y. Fratantonio, “Magika: Ai powered fast and efficient file type identification,” https://opensource.googleblog.com/2024/02/magika-ai-powered-fast-and-efficient-file-type-identification.html , 2023
2023
Cited alongside, same era.
K. Skračić, J. Petrović, and P. Pale, “ByteRCNN: Enhancing File Fragment Type Identification with Recurrent and Convolutional Neural Networks,” IEEE access , 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
L. Alzubaidi, J. Bai, A. Al-Sabaawi, J. Santamaría, A. S. Albahri, B. S. N. Al-dabbagh, M. A. Fadhel, M. Manoufali, J. Zhang, A. H. Al-Timemy et al. , “A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications,” Journal of Big Data , vol. 10, no. 1, p. 46, 2023
2023
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B. Quintero, “Introducing virustotal code insight: Empowering threat analysis with generative ai,” https://blog.virustotal.com/2023/04/introducing-virustotal-code-insight.html , 2023
2023
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“File — A file type guesser,” https://www.darwinsys.com/file/
Cited in the paper.
“Manual page for libmagic,” https://man7.org/linux/man-pages/man3/magic_list.3.html
Cited in the paper.
“ExifTool,” https://exiftool.org/
Cited in the paper.
“TrID,” https://mark0.net/soft-trid-e.html
Cited in the paper.
“guesslang: tool to detect programming language of a given source,” https://github.com/yoeo/guesslang
Cited in the paper.
“VSCode Blog: Automatic Language Detection,” https://code.visualstudio.com/updates/v1_60#_automatic-language-detection
Cited in the paper.
“JavaScript Basics,” https://developer.mozilla.org/en-US/docs/Learn/Getting_started_with_the_web/JavaScript_basics
Cited in the paper.
“GitHub,” https://github.com
Cited in the paper.