title: ÐÐ²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÐ¹ Ð¿Ð¾Ð¸ÑÐº ÑÑÐ·Ð²Ð¸Ð¼Ð¾ÑÑÐµÐ¹ Ð² Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð¼ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ð¸ Ð°ÑÑ Ð¸ÑÐµÐºÑÑÑÑ ARM Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð´Ð¸Ð½Ð°Ð¼Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ ÑÐ¸Ð¼Ð²Ð¾Ð»ÑÐ½Ð¾Ð³Ð¾ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸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: Automated detection of vulnerabilities in ARM architecture software using dynamic symbolic execution
Creators: name: ÐÐ½ÑÐ·ÐµÐ², ÐÐ°Ð²ÐµÐ»
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: 2020
Subjects: ÐÑÑÐ¸ÑÐ»Ð¸ÑÐµÐ»ÑÐ½ÑÐµ Ð¼Ð°ÑÐ¸Ð½Ñ ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½ÑÐµ Ð¿ÐµÑÑÐ¾Ð½Ð°Ð»ÑÐ½ÑÐµ
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Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÑ Ð¸Ð½ÑÐµÑÐ½ÐµÑÐ° Ð²ÐµÑÐµÐ¹
ÑÐ°Ð·Ð·Ð¸Ð½Ð³
Ð°ÑÑ Ð¸ÑÐµÐºÑÑÑÐ° arm
Ð´Ð¸Ð½Ð°Ð¼Ð¸ÑÐµÑÐºÐ¾Ðµ ÑÐ¸Ð¼Ð²Ð¾Ð»ÑÐ½Ð¾Ðµ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ðµ
internet of things security
fuzzing
arm architecture
dynamic symbolic execution

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description: The subject of the graduate qualification work is âAutomated detection of vulnerabilities in ARM architecture software using dynamic symbolic executionâ. This work is devoted to evaluating the effectiveness of automated vulnerability detection in ARM architecture software using dynamic symbolic execution. The research set the following goals: 1. Familiarization with the principles of operation and features of the Internet of things devices. 2. Investigation of incidents related to IoT device security violations, identification of the most likely attack vectors and current types of vulnerabilities. 3. Researching drawbacks of symbolic execution and developing methods for their correction. 4. Implementation of vulnerability detection tool, taking into account the proposed methods for improving the efficiency of symbolic execution. 5. Evaluating the effectiveness of the developed tool. The study resulted into analysis of the vulnerability detection methods in internet of things devices. The problems of symbolic execution utilization for vulnerability detection were explored in detail. To increase the efficiency and avoid problems appearing in classical symbolic execution the use of dynamic symbolic execution was suggested. In accordance with the proposed approach, new vulnerability detection tool was implemented. Its efficiency and effectiveness were evaluated.