title: ÐÐ±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð²ÑÐµÐ´Ð¾Ð½Ð¾ÑÐ½Ð¾Ð³Ð¾ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Android Ð¿Ð¾ÑÑÐµÐ´ÑÑÐ²Ð¾Ð¼ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð³ÑÐ°ÑÐ° Ð¿Ð¾ÑÐ¾ÐºÐ° ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° ÑÐ¿ÐµÑÐ¸Ð°Ð»Ð¸ÑÑÐ°
titleType: Subtitle
title: Detection of malicious software for Android by analyzing the control flow graph
Creators: name: ÐÑÐ²Ð¾Ð², ÐÑÑÐµÐ¼
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: ÐÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑ
ÐÑÑÐ¸ÑÐ»Ð¸ÑÐµÐ»ÑÐ½ÑÐµ Ð¼Ð°ÑÐ¸Ð½Ñ ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½ÑÐµ
ÐÑÐ°ÑÐ¾Ð² ÑÐµÐ¾ÑÐ¸Ñ
Ð³ÑÐ°Ñ Ð¿Ð¾ÑÐ¾ÐºÐ° ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ
Ð³ÑÐ°Ñ Ð¿Ð¾ÑÐ¾ÐºÐ° Ð´Ð°Ð½Ð½ÑÑ
ÑÐ°Ð·Ð´ÐµÐ»ÑÐµÐ¼ÑÐµ Ð±Ð¸Ð±Ð»Ð¸Ð¾ÑÐµÐºÐ¸
control flow graph
data flow graph
shared libraries

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description: The subject of the research is methods of detecting malicious software of the Android operating system by analyzing the control flow graph. The aim of this work is to increase the efficiency of detecting malware for Android by analyzing control flow graphs. The thesis presents a study of methods for detecting malicious software of the Android operating system by analyzing the control flow graph. A technique for using a control flow graph to detect malicious software has been developed. A prototype of a software solution for analyzing Android applications for malicious properties has been implemented. The effectiveness of the implemented prototype is estimated. The results of the experimental evaluation showed the high efficiency of the developed prototype. The research results can be used to improve the existing methodological base for the use of control flow graphs in the detection of malicious Android applications.