Research Article
FindEvasion: An Effective Environment-Sensitive Malware Detection System for the Cloud
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@INPROCEEDINGS{10.1007/978-3-319-73697-6_1, author={Xiaoqi Jia and Guangzhe Zhou and Qingjia Huang and Weijuan Zhang and Donghai Tian}, title={FindEvasion: An Effective Environment-Sensitive Malware Detection System for the Cloud}, proceedings={Digital Forensics and Cyber Crime. 9th International Conference, ICDF2C 2017, Prague, Czech Republic, October 9-11, 2017, Proceedings}, proceedings_a={ICDF2C}, year={2018}, month={1}, keywords={Cloud security Environment-sensitive malware MBSS Transparent extraction Multiple operating environments}, doi={10.1007/978-3-319-73697-6_1} }- Xiaoqi Jia
Guangzhe Zhou
Qingjia Huang
Weijuan Zhang
Donghai Tian
Year: 2018
FindEvasion: An Effective Environment-Sensitive Malware Detection System for the Cloud
ICDF2C
Springer
DOI: 10.1007/978-3-319-73697-6_1
Abstract
In recent years, environment-sensitive malwares are growing rapidly and they pose significant threat to cloud platforms. They may maliciously occupy the computing resources and steal the tenants’ private data. The environment-sensitive malware can identify the operating environment and perform corresponding malicious behaviors in different environments. This greatly increased the difficulty of detection. At present, the research on automatic detection of environment-sensitive malwares is still rare, but it has attracted more and more attention.
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