News
Expertenkreis 'Security vernetzter, autonomer Fahrzeuge'
2022-04-28
Werden Sie ein aktiver Teil unserer Expert Panels, indem Sie Fragen in unserem Q&A-Live-Chat stellen und bringen Sie sich so auf den neuesten Stand der Forschung zu folgenden Zukunftsthemen der Cybersecurity vernetzter, autonomer Fahrzeuge.
Read MorePROBoter - Automating PCB analysis in penetration tests of embedded systems
2022-02-02
The PROBoter is a modular, self-calibrating probing machine to support PCB analysis tasks in penetration tests of embedded systems. The video of the PROBoter demonstrates its four main contributions: 1) The automatic visual detection of components and contact points on a PCB, 2) the automatic probing of contact points for net reversing and signal detection, 3) the mapping of signal lines to given bus protocols, and 4) the support in identification of potential attack vectors.
Read MoreCooperative Adaptive Cruise Control – Part 2: Misbehaviour Detection and Mitigation
2022-01-18
Platooning is one of the key use cases for vehicle to vehicle communication which aims to improve traffic efficiency by drastically reducing the safety gap between vehicles. This can be done because all members of a platoon are continuously informed about each other's planned maneuvers via vehicular communication (V2X). However, as shown in the first video of this demonstrator, manipulated platooning beacons can cause instabilities or even severe accidents.
Read MoreModular Greybox Fuzzing
2022-01-11
Fuzzing, or fuzz testing, is a common testing technique to uncover bugs and security vulnerabilities in software. Modular Greybox Fuzzing applies a novel fuzz testing strategy consisting of three phases to reach deep code regions and overcome checks and validation boundaries.
Read MoreScanning Framework for Cars or Single ECUs
2021-12-20
During the SecForCARs project, a comprehensive penetration testing toolchain for cars was developed. The scope of the toolchain is conducting penetration tests from a single ECU up to whole cars, with the main focus on the UDS interface.
Read MoreAutomotive Vulnerability Reporting, Processing and Database – Part 2
2021-12-10
The work in the SecForCARs project of the Institute for Energy-Efficient Mobility at Karlsruhe University of Applied Sciences focuses on dealing with automotive vulnerabilities. This has resulted in solutions for wide areas of the product life cycle of automotive components. Starting with the detection of vulnerabilities in the field, their responsible disclosure, remediation and storage in structured form, to the use of the return of the information obtained in the development process of new products.
Read MoreAutomotive Vulnerability Reporting, Processing and Database – Part 1
2021-12-10
The work in the SecForCARs project of the Institute for Energy-Efficient Mobility at Karlsruhe University of Applied Sciences focuses on dealing with automotive vulnerabilities. This has resulted in solutions for wide areas of the product life cycle of automotive components. Starting with the detection of vulnerabilities in the field, their responsible disclosure, remediation and storage in structured form, to the use of the return of the information obtained in the development process of new products.
Read MoreCooperative Adaptive Cruise Control – Part 1: Overview and Attacks
2021-12-03
In this demonstrator, we investigate how control systems in automated vehicles can be attacked. We explore this with a relatively simple automated driving function, namely Cooperative Adaptive Cruise Control (CACC). In CACC, vehicles periodically communicate their current driving state (like position, speed, heading, acceleration, or deceleration) to other vehicles with which they form a platoon of vehicles. A CACC control algorithm running in each vehicle uses this information to determine the necessary longitudinal acceleration or deceleration that is required to maintain a stable platoon. Compared to the better-known Adaptive Cruise Control (ACC) that typically relies on RADAR-based distance measurements to the vehicle in front, CACC has the advantages that a better string-stability and shorter driving distances can be achieved.
Read MoreAutomotive Pentesting Guide
2021-11-29
The task of the Automotive Pentesting Guide is to provide tool-based support for carrying out a security test in the automotive sector. The goal is to clearly define the scope to test for all parties involved, to run the test in a uniformly structured and repeatable manner, and to record the results in a clean and comparable manner.
Read MoreSelf-Assessment in Tracking Algorithms
2021-11-24
Self-assessment is a key to safety and security in automated driving. In order to design safer as well as more robust and secure automated driving functions, the goal is to self-assess the performance of each module in a whole automated driving system. One crucial component in automated driving systems is the tracking of surrounding objects, where the Kalman filter is the most fundamental tracking algorithm.
Read MoreAnomaly Detection in Radar Data
2021-11-11
For autonomous driving, radar is an important sensor type. On the one hand, radar offers a direct measurement of the radial velocity of targets in the environment. On the other hand, in literature, radar sensors are known for their robustness against several kinds of adverse weather conditions. However, on the downside, radar is susceptible to ghost targets or clutter which can be caused by several different causes, e.g., reflective surfaces in the environment but also by intelligent and modern attacks. Ghost targets, for instance, can result in erroneous object detections. To this end, it is desirable to identify anomalous targets as early as possible in radar data to ensure safety and security of the sensor data.
Read MoreGeneration of Artificial Radar Targets
2021-11-04
In order to guarantee the safety and security of autonomous vehicles, rigorous tests and verifications are required. Analogously to a crash test center, to ensure the integrity specifically of the sensors employed in autonomous cars, an environment suited for intense testing of the sensors employed in autonomous cars can be envisioned. In such a test center the effectiveness of the security measures and safety-relevant features is investigated.
Read MoreAP1 Demonstrator
2021-10-27
This video shows you some of the results of the SecForCARs work package 1 (AP1).
Read MoreSecForCARs Project Overview
2021-10-14
Since 2018, the German SecForCARs project investigates the security of connected and automated vehicles. With its 14 partners from industry and academia, it addresses a broad range of challenges, ranging from analysis of the extended attack surface of connected, automated vehicles that includes attacks on vehicle systems, sensor attacks, for example on its RADAR sensors, or attacks that try to manipulate its data fusion and control algorithms.
Read More