基于AI的汽车智能网联系统信息安全检测技术

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中图分类号：U463.6 文献标识码：A 章编号：1003-8639（2025）08-0062-03

【Abstract】With the wideapplicationof intellgentconnected vehicles，the securityof on-board informationsystems isfacingchallnges.Inviewofthelimitationsofexistingdetectiontechnologies，thisarticleconstructsanAl-based securitydetection framework through multi-dimensional featurefusionandoptimizationof deep learning models.This framework covers keytechnologiessuchasabnormalnetworktraficdetection，intrusionbehavioridentificationandscurity risk assessment.Tests show that thecomprehensive accuracyrate of the ResNet-BiLSTM hybrid model reaches 98.7% ， and thereasoningdelaymets theon-boardrequirements.It efectively enhances the information protectioncapabilityof theautomotive intellgent connected vehicle system and provides technical support forthe safetyof intelligentvehicles.

【Key words】 intelligent connected vehicles；security detection；deep learning

0 引言

随着智能网联汽车的广泛应用，车载信息系统面临网络攻击、数据泄露及恶意入侵等安全挑战，这些威胁严重危及行车安全与用户隐私。（剩余4074字）