首页|Research on Security of Key Algorithms in Intelligent Driving System?

Research on Security of Key Algorithms in Intelligent Driving System?

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With the rapid development of the smart driving technology, the security of smart driving algo-rithms is becoming more and more important. Four core smart driving algorithms are determined by studying the architecture of smart driving algorithm. These algorithms comprise local path planning, pedestrian detection, lane detection and obstacle detection. The security issues of these algorithms are investigated by closely examining the work carried out by the algorithms. We found that there are vulnerabilities in all four algorithms. These vulnerabilities can cause abnormality and even road accidents for the smart cars. The final experiment shows that the vulnerabilities of these algorithms do exist under certain circumstances and therefore have high security risks. This study will lay a foundation to improve the security of the smart driving system.

Smart driving algorithmLocal path planningPedestrian detectionLane line detectionObstacle detection

LIU Shangdong、WU Ye、JI Yimu、CHEN Chen、BI Qiang、JIAO Zhipeng、GONG Jian、WANG Ruchuan

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School of Computer Science and Engineering, Southeast University, Nanjing 211189, China

School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

Jiangsu Provincial Key Laboratory of Computer Network Technology, Nanjing 210096, China

Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210003, China

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This work is financially supported by the National Key R&D Program of ChinaThis work is financially supported by the National Key R&D Program of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaKey Research and Development Program of Jiangsu ProvinceKey Research and Development Program of Jiangsu ProvinceNatural Science Foundation Outstanding Youth Fund of Jiangsu Province1311 Project of Nanjing University of Posts and TelecommunicationsScience and Technology Innovation Training Program(STITP)in Jiangsu ProvinceNatural Science Foundation of Anhui Province of China

2017YFB14013002017YFB1401302615722606187219661871412BE2017166BE20161BK20170100SZDG20180011708085MF156

2019

10.1049/cje.2018.11.003

中国电子杂志(英文版)

中国电子杂志(英文版)

CSTPCDCSCDSCIEI
ISSN：1022-4653
年,卷(期)：2019.28(1)
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