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Distinguished Researcher Yuhei Kawakoya
  • Distinguished Researcher

    Yuhei Kawakoya

  • NTT Social Informatics Laboratories

Full-automatic malware analysis technology

Research on malware analysis by applying advanced program analysis techniques, such as taint analysis or symbolic execution, to real-world problems in practical fields. My goal is to realize full-automatic analysis technologies to understand all functionalities and behaviors of any types of malware.

In this page

Awards

  • MWS2012 Best Paper Award
  • IPSJ Specially Selected Paper 2013
  • IPSJ Yamashita SIG Research Award 2013
  • CSS2017 Best Paper Award
  • JIP Specially Selected Paper 2018

Academic Activities

  • IWSEC 2019 Program Committee

Professional Activities

  • Security Camps 2018, Lecturer
  • Security Camps 2019, Lecturer

Publications

Books

  • "Analyzing Malware: Fighting against infection incidents with free tools", O'Reilly Japan, 2010.
  • Japanese translation of "Metasploit: The Penetration Tester's Guide", O'Reilly Japan, 2012.
  • Japanese translation of "Black Hat Python: Python Programming for Hackers and Pentesters", O'Reilly Japan, 2015.

Papers

  • "Automatic Reverse Engineering of Script Engine Binaries for Building Script API Tracers(co-author)", ACM DTRAP, 2021
  • "EIGER: Automated IOC Generation for Accurate and Interpretable Endpoint Malware Detection (co-author)", ACSAC, 2019
  • "Taint-assisted IAT Reconstruction against Position Obfuscation", JIP, 2018
  • "Stealth Loader: Trace-free Program Loading for API Obfuscation", RAID, 2017
  • "API Chaser: Anti-analysis Resistant Malware Analyzer", RAID, 2013
  • "Tracing Malicious Code with Taint Propagation", IPSJ, 2013

Professional Activities

  • Security Camps 2018, Lecturer
  • Security Camps 2019, Lecturer
  • Security Camps 2021, Producer

Keywords

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