Securing the On-Board Diagnostics Port (OBD-II) in Vehicles

Abstract

Accurate indoor positioning remains an open research question. Existing solutions are either expensive, shortrange, or inaccurate. A new approach is therefore required to cost-effectively and accurately support localization in large indoor environments. We tackle this problem by introducing a practical optical localization scheme, called OSLo, that costeffectively scales to support large buildings. OSLo uses a meshed network of low-cost cameras as localization anchors and smart LEDs as tags, which transmit their IDs and context sensor data over the meshed cameras using optical communication. OSLo is capable of localizing dense deployments of tags with an accuracy of under 1 meter at a distance of 35 meters from the localization anchor. Furthermore, smart LED tags can be manufactured for less than $1. We systematically evaluate the performance of OSLo in the context of a real-world car localization use-case at Ford Motor Company in Germany and demonstrate promising results in terms of detection distance, and localization accuracy.

Securing CAN Traffic on J1939 Networks

“…In a fashion similar to [9], we define our requirements in two categories, system and cybersecurity.…”

SIUV: A Smart Car Identity Management and Usage Control System Based on Verifiable Credentials

“…Ammar et al [1] developed an end-to-end Role Based Access Control (RBAC) mechanism that protects vulnerable On-Board Diagnostics-II (OBD-II) ports. These ports impose a serious security risk as they can be used to install software on ECUs and to access the internal vehicle network.…”