| Title | A framework for automated dynamic malware analysis for Linux |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Vurdelja, Igor, Blažić, Ivan, Bojić, Dragan, Drašković, Dražen |
| Conference Name | 2020 28th Telecommunications Forum (℡FOR) |
| Date Published | nov |
| Keywords | computer security, dynamic analysis, Hardware, Human Behavior, Linux, Malware, malware analysis, Predictive Metrics, privacy, pubcrawl, Resiliency, sandbox, Tools, Virtual machine monitors, Virtual machining, virtualization |
| Abstract | Development of malware protection tools requires a more advanced test environment comparing to safe software. This kind of development includes a safe execution of many malware samples in order to evaluate the protective power of the tool. The host machine needs to be protected from the harmful effects of malware samples and provide a realistic simulation of the execution environment. In this paper, a framework for automated malware analysis on Linux is presented. Different types of malware analysis methods are discussed, as well as the properties of a good framework for dynamic malware analysis. |
| DOI | 10.1109/℡FOR51502.2020.9306520 |
| Citation Key | vurdelja_framework_2020 |
A framework for automated dynamic malware analysis for Linux