TL;DR提出了一种基于混合 FPGA 设备的集成化汽车控制器区域网络(IDS)架构,采用两个量化的多层感知器(QMLP),加速利用 Xilinx 的深度学习处理单元(DPU) IP 块进行攻击检测,达到了最先进的分类准确性和降低功耗的效果。
Abstract
Recent years have seen an exponential rise in complex software-driven functionality in vehicles, leading to a rising number of electronic control units (ECUs), network capabilities, and interfaces. These expanded capabilities also bring-in new planes of vulnerabilities making intrusion detection and management a critical capability; however, this can often r