Dr. Khaled Yakdan


E-Mail: yakdan@REMOVETHISPART.code-intelligence.de
Homepage: https://www.code-intelligence.com/



  • Khaled Yakdan, Sergej Dechand, Elmar Gerhards-Padilla, Matthew Smith
    Helping Johnny to Analyse Malware: A Usability-Optimized Decompiler and Malware Analysis User Study
    In Proceedings of the 37th IEEE Symposium on Security and Privacy (Oakland 2016), San Jose, CA, USA. [PDF]
  • Daniel Plohmann, Khaled Yakdan, Michael Klatt, Johannes Bader, Elmar Gerhards-Padilla
    A Comprehensive Measurement Study of Domain Generating Malware
    In Proceedings of the 25th USENIX Security Symposium (USENIX Security 2016), Austin, TX, USA. [PDF]
  • Sebastian Eschweiler, Khaled Yakdan, Elmar Gerhards-Padilla
    discovRE: Efficient Cross-Architecture Identification of Bugs in Binary Code
    In Proceedings of the 23nd Network and Distributed System Security Symposium (NDSS 2016), San Diego, CA, USA. [PDF]


  • Khaled Yakdan, Sebastian Eschweiler, Elmar Gerhards-Padilla, Matthew Smith
    No More Gotos: Decompilation Using Pattern-Independent Control-Flow Structuring and Semantics-Preserving Transformations
    In Proceedings of the 22nd Network and Distributed System Security Symposium (NDSS 2015), San Diego, CA, USA. [PDF]
    ** Distinguished Paper Award **
  • Thomas Barabosch, Adrian Dombeck, Khaled Yakdan, Elmar Gerhards-Padilla
    BotWatcher: Transparent and Generic Botnet Tracking
    In Proceedings of the 18th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2015), Kyoto, Japan.


  • Khaled Yakdan, Sebastian Eschweiler, Elmar Gerhards-Padilla
    REcompile: A Decompilation Framework for Static Analysis of Binaries
    In Proceedings of the 8th IEEE International Conference on Malicious and Unwanted Software (MALWARE 2013), Fajardo, Puerto Rico, USA.