
This paper tries to shed more light on Mirai malware, with an aim to facilitate its easier detection and prevention. This malware was used in several recent high profile DDoS attacks. Mirai is used to create and control botnet of IoT devices. The code of this malware is analysed and explanation of its parts provided. Virtual environment for dynamic analysis of Mirai is created. Special settings that were needed to install, start and use Mirai in this environment are explained. Mirai CNC user environment with list of commands is presented. Controlled DDoS attack was successfully executed. Traffic generated during controlled attacks was used to generate signature for Mirai detection. Conclusion of static and dynamic analysis is given together with some mitigation advices.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 55 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
