MUHAMMAD FAKHRUR ROZIロジムハマドフアクル (ロジムハマドフアクル)

サイバーセキュリティ研究所
AIセキュリティ研究センター　研究員

サイバーセキュリティ研究所
サイバーセキュリティ研究室　研究員

He completed his master's degree in Electrical and Electronics Engineering at the Graduate School of Engineering, Kobe University, in 2021. He then directly continued his cybersecurity studies at the same university to pursue his doctoral degree. At the same time, he also joined the cybersecurity laboratory in NICT as a researcher specifying in AI in cybersecurity research group.

His research interest is web security, such as malicious JavaScript, phishing detection, and malicious URL analysis. He tries to bring AI as a novel approach to solving web security problems. He was a part of a WarpDrive project from 2019 to 2021 that aimed to develop a web-mediated attack countermeasure technology. Currently, he is working on improving malicious webpage detection and obfuscation of JavaScript code analysis.

研究分野: Websecurity, Phishing Websites, Graph for Cybersecurity, Malicious JavaScript
キーワード: malicious JavaScript, phishing, malicious URL detection

selected papers主要論文

M. F. Rozi, T. Ban, S. Ozawa, S. Kim, T. Takahashi, D. Inoue, "JStrack: Enriching Malicious JavaScript Detection Based on AST Graph Analysis and Attention Mechanism." International Conference on Neural Information Processing. Springer, Cham, 2021.
M. F. Rozi, T. Ban, S. Kim, S. Ozawa, T. Takahashi, D. Inoue, "Detecting Malicious Websites Based on JavaScript Content Analysis, " In Proceedings of the Computer Security Symposium, 727-732, 2021
M. F. Rozi, S. Ozawa, S. Kim, "Deep neural networks for malicious JavaScript detection using bytecode sequences," In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2020

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