The goal of this thesis is a study of techniques used for detection, identification and analysis of malware in Android OS based mobile devices. In the first part of the thesis, the student will describe techniques that are commonly used for malware detection, whereas the second part will be focused on identification and analysis of malware. The student will study, test, and describe both standard user tools (for example antivirus systems) and professional forensic tools that are often used for search and analysis of malware in laboratory conditions (for example the tools for memory extraction and analysis). The selected tools will also be tested and analyzed in more detail. Special attention will be given to detection and usage of dynamic instrumentation toolkit Frida because this toolkit can be part of modern malware, but it is also often used for the forensic dynamic analysis of unknown malware.