Helping Johnny to Analyze Malware: A Usability-Optimized Decompiler and Malware Analysis User Study-Reference-Cited by-同舟云学术

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Helping Johnny to Analyze Malware: A Usability-Optimized Decompiler and Malware Analysis User Study

Published:2016-05 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE Symposium on Security and Privacy (SP)
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Short-container-title:

Author:

Yakdan Khaled¹,Dechand Sergej¹,Gerhards-Padilla Elmar²,Smith Matthew¹

Affiliation:

1. Univ. of Bonn, Bonn, Germany

2. Fraunhofer FKIE, Wachtberg, Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7528194/7546461/07546501.pdf?arnumber=7546501

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Function Name Prediction using Votes-Based Name Tokenization and Multi-task Learning;Proceedings of the ACM on Software Engineering;2024-07-12

2. Position: The Explainability Paradox - Challenges for XAI in Malware Detection and Analysis;2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW);2024-07-08

3. On the use of statistical machine translation for suggesting variable names for decompiled code: The Pharo case;Journal of Computer Languages;2024-06

4. "Len or index or count, anything but v1": Predicting Variable Names in Decompilation Output with Transfer Learning;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

5. Accurate and Efficient Code Matching Across Android Application Versions Against Obfuscation;2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2024-03-12

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