Security Detection and Research of Intelligent Hardware System

DOI

10.2991/iceeecs-16.2016.3How to use a DOI?

Keywords

Intelligent hardware; simulation; dynamic analysis; static analysis; vulnerability mining

Abstract

With the rapid development of Internet of things technology, intelligent hardware equipment has become an important part of our lives. It widely exists in the smart router, network cameras, smart home and smart wearable devices. By analyzing the common features of intelligent hardware devices, our research object is the intelligent hardware devices based on embedded Linux system in this paper. Through the method of software simulation, we can reduce the hardware cost and make it possible for the intelligent hardware security analysis at scale. By combing static and dynamic analysis method, serious vulnerability is found. In the stage of static analysis, we collect the file information as many as possible, which can make dynamic analysis more effective and accurately. In the dynamic analysis stage, we mine system vulnerabilities of the firmware. Finally, testing the actual application of the 24 manufacturers of 1945 firmwares, we found 365 vulnerabilities in the 96 firmwares. The results of the test show the effectiveness of the proposed method.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guojian Ge
AU  - Qingshu Xue
PY  - 2016/12
DA  - 2016/12
TI  - Security Detection and Research of Intelligent Hardware System
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 10
EP  - 13
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.3
DO  - 10.2991/iceeecs-16.2016.3
ID  - Ge2016/12
ER  -