PDF Malware Detection Using Visualization and Machine Learning

Author:

Liu Ching-Yuan,Chiu Min-Yi,Huang Qi-Xian,Sun Hung-Min

Publisher

Springer International Publishing

Reference18 articles.

1. SentinelOne: Malicious PDFs - Revealing the Techniques Behind the Attacks. https://www.sentinelone.com/blog/malicious-pdfs-revealing-techniques-behind-attacks/. Accessed 27 Mar 2019

2. Cybersecurity Insiders: Cyber Attack with Ransomware hidden inside PDF Documents. https://www.cybersecurity-insiders.com/cyber-attack-with-ransomware-hidden-inside-pdf-documents/

3. Kaspersky: Top 4 dangerous file attachments. https://www.kaspersky.com/blog/top4-dangerous-attachments-2019/27147/. Accessed 31 May 2019

4. O’Shaughnessy, S.: Image-based malware classification: a space filling curve approach. In: 2019 IEEE Symposium on Visualization for Cyber Security (VizSec), pp. 1–10. IEEE, October 2019. https://doi.org/10.1109/VizSec48167.2019.9161583

5. Nataraj, L., Karthikeyan, S., Jacob, G., Manjunath, B.S.: Malware images: visualization and automatic classification. In: Proceedings of the 8th International Symposium on Visualization for Cyber Security, pp. 1–7, July 2011. https://doi.org/10.1145/2016904.2016908

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