LIU Shangdong, WU Ye, JI Yimu, CHEN Chen, BI Qiang, JIAO Zhipeng, GONG Jian, WANG Ruchuan. Research on Security of Key Algorithms in Intelligent Driving System[J]. Chinese Journal of Electronics, 2019, 28(1): 29-38. doi: 10.1049/cje.2018.11.003
Citation: LIU Shangdong, WU Ye, JI Yimu, CHEN Chen, BI Qiang, JIAO Zhipeng, GONG Jian, WANG Ruchuan. Research on Security of Key Algorithms in Intelligent Driving System[J]. Chinese Journal of Electronics, 2019, 28(1): 29-38. doi: 10.1049/cje.2018.11.003

Research on Security of Key Algorithms in Intelligent Driving System

doi: 10.1049/cje.2018.11.003
Funds:  This work is financially supported by the National Key R&D Program of China (No.2017YFB1401300, No.2017YFB1401302), the National Natural Science Foundation of China (No.61572260, No.61872196, No.61871412), the Key Research and Development Program of Jiangsu Province (No.BE2017166, No.BE20161), the Natural Science Foundation Outstanding Youth Fund of Jiangsu Province (No.BK20170100), the 1311 Project of Nanjing University of Posts and Telecommunications, the Science and Technology Innovation Training Program (STITP) in Jiangsu Province (No.SZDG2018001), and the Natural Science Foundation of Anhui Province of China (No.1708085MF156).
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  • Corresponding author: JI Yimu (corresponding author) was born in 1978. He received the Ph.D. degree in computer science from Nanjing University of Posts and Telecommunications. He is now a professor of Nanjing University of Posts and Telecommunications. His research interests include p2p network, cloud computing and big data. (Email:jiym@njupt.edu.cn)
  • Received Date: 2018-06-14
  • Rev Recd Date: 2018-07-17
  • Publish Date: 2019-01-10
  • With the rapid development of the smart driving technology, the security of smart driving algorithms 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.
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