Testing for Security: Key to Automotive Development
Marc Serughetti, Synopsys
9/4/2014 11:45 AM EDT
As consumers, we are constantly expecting new features in our cars.
Over the years the automotive industry has continuously responded to this demand, and electronics has played a key role in enabling these new features.
Today, vehicles include complex interconnected electronic modules executing a very large amount of embedded software. This growth of electronic content in vehicles is expected to continue for many years to come as the demand for functionality such as safety systems, better fuel consumption, autonomous driving, and connectivity continues to grow.
However it does not come without challenges. Safety has always been a key concern for automotive companies, and safety specifically related to electronic systems has been a strong focus for semiconductor, Tier 1, and OEM companies in the past decade. ISO 26262 represents an example of the industry’s willingness to address the safety challenge.
In addition to safety concerns, electronic components have introduced a new set of concerns and challenges associated with security. Automotive cyber security has recently gained rapid attention. Networks and interfaces to access electronic modules are opening the door to vulnerabilities that could have significant consequences on the customer experience and reliability of the vehicle.
Let’s explore some examples highlighted in research and industry publications.
To read the full article, click here
Related Semiconductor IP
- JESD204E Controller IP
- eUSB2V2.0 Controller + PHY IP
- I/O Library with LVDS in SkyWater 90nm
- 50G PON LDPC Encoder/Decoder
- UALink Controller
Related Articles
- PCIe IP With Enhanced Security For The Automotive Market
- How to Design Secure SoCs: Essential Security Features for Digital Designers
- How a Standardized Approach Can Accelerate Development of Safety and Security in Automotive Imaging Systems
- Fragmentation to Standardization: Evaluating RISC-V’s Path Across Data Centers, Automotive, and Security
Latest Articles
- Crypto-RV: High-Efficiency FPGA-Based RISC-V Cryptographic Co-Processor for IoT Security
- In-Pipeline Integration of Digital In-Memory-Computing into RISC-V Vector Architecture to Accelerate Deep Learning
- QMC: Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design
- ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design
- COVERT: Trojan Detection in COTS Hardware via Statistical Activation of Microarchitectural Events