Divergence Detector: A Fine-Grained Approach to Detecting VM-Awareness Malware-Reference-Cited by-同舟云学术

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Divergence Detector: A Fine-Grained Approach to Detecting VM-Awareness Malware

Published:2013-06 Issue: Volume: Page:
ISSN:
Container-title:2013 IEEE 7th International Conference on Software Security and Reliability
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Author:

Hsu Chia-Wei,Shih Fan-Syun,Wang Chi-Wei,Shieh Shiuhpyng Winston

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6570841/6571676/06571698.pdf?arnumber=6571698

Cited by 5 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. Investigation of The Latest Malware Detection Engines and Lightweight Byte n-Gram Methods with Real Custom Malware;2024 16th International Conference on Computer and Automation Engineering (ICCAE);2024-03-14

2. Fast Preprocessing by Suffix Arrays for Managing Byte n-grams to Detect Malware Subspecies by Machine Learning;Journal of Information Processing;2024

3. EnvFaker: A Method to Reinforce Linux Sandbox Based on Tracer, Filter and Emulator against Environmental-Sensitive Malware;2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2021-10

4. Towards the Detection of Isolation-Aware Malware;IEEE Latin America Transactions;2016-02

5. Fast Discovery of VM-Sensitive Divergence Points with Basic Block Comparison;2014 Eighth International Conference on Software Security and Reliability;2014-06

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