Open AccessResearch on Security of Key Algorithms in Intelligent Driving System
Author(s) -
Liu Shangdong,
Wu Ye,
JI Yimu,
Bi Qiang,
Jiao Zhipeng,
Gong Jian,
Wang Ruchuan
Publication year - 2019
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2018.11.003
Subject(s) - computer science , key (lock) , obstacle , computer security , algorithm , path (computing) , abnormality , smart city , architecture , computer network , internet of things , political science , law , psychology , social psychology , art , visual arts
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