Configure, Confirm, Ship: Build Secure Processor-Based Systems with Faster Time-to-Market
By Synopsys
Security is a first-order design requirement for processor-based systems. Processor designers implement security functionality directly into the hardware itself to protect the system at its most fundamental layer. System integrators that use processor IP such as Synopsys’ DesignWare® ARC® processors must ensure that they configure and manage the protection and security features correctly, and that they do not introduce vulnerabilities. Evaluating the security of complex, highly combined hardware-software systems and ensuring these systems are free from vulnerabilities is hard. In this white paper, we show how Tortuga Logic’s Radix-S security verification platform with Synopsys’ ARC Processor IP offer a powerful solution for this complex problem. We demonstrate the combined hardware-software security verification by creating an example system comprised of the ARC processor IP and vulnerable software that configures the memory protection unit incorrectly. With the additional capabilities provided by Radix-S, we quickly identify the flaw using pre-existing functional verification infrastructure. Furthermore, we show how system integrators can verify the security of protected debug logic with this technology.
To read the full article, click here
Related Semiconductor IP
- Chiplet Die-to-Die Interconnect IP Solution
- High speed MACsec Engine 100G/200G/400G/800G/1.6T
- Temperature/Voltage sensors
- AMBA Bus Host to eSPI Controller/Target
- AMBA Bus Host to eSPI Controller
Related Articles
- Stitch and ship no longer viable
- Secure updates for FPGA-based systems
- Tech Overhaul: An Ode to Faster Memories
- True Random Number Generators for Truly Secure Systems
Latest Articles
- ZK-Flex: A Flexible and Scalable Framework for Accelerating Zero-Knowledge Proofs
- ITP-STDP: An Intrinsic-Timing Power-of-Two Learning Engine for On-Chip SNN Training
- OpenEye: A Scalable Open-Source Hardware Accelerator for DNNs
- CHIMERA: A Flexible and Scalable 3.1 TOPS/W AI-MCU with Transformer Accelerator and 563 Gb/s Shared-L2 Memory Subsystem with QoS Guarantees
- CXL-ClusterSim: Modeling CXL-based Disaggregated Memory Cluster for Pooling and Sharing using gem5 and SST