True Random Number Generators for Truly Secure Systems
David A. Jones, Senior FAE, Synopsys
Random numbers form the basis, or root, of most security systems. Yet the methods for generating random numbers vary widely in practice as well as efficacy. Over time, many popular randomization algorithms and circuit implementations have been shown to be provably flawed. The paper will examine current methods for generating random numbers based on various sources of entropy as well as their associated attack techniques, including physical, statistical, and electronic methods.
Related Semiconductor IP
- True Random Number Generator (TRNG) IP
- True Random Number Generator (TRNG)
- TRNG IP Core
- TRNG (True Random Number Generator) NIST SP800-90C
- RSA/ECC Public Key Accelerators with TRNG and AHB
Related Articles
- In-DRAM True Random Number Generation Using Simultaneous Multiple-Row Activation: An Experimental Study of Real DRAM Chips
- Lockdown! Random Numbers Secure Network SoC Designs
- Secure updates for FPGA-based systems
- Configure, Confirm, Ship: Build Secure Processor-Based Systems with Faster Time-to-Market
Latest Articles
- Analog Foundation Models
- Modeling and Optimizing Performance Bottlenecks for Neuromorphic Accelerators
- RISC-V Based TinyML Accelerator for Depthwise Separable Convolutions in Edge AI
- Exclude Smart in Functional Coverage
- A 0.32 mm² 100 Mb/s 223 mW ASIC in 22FDX for Joint Jammer Mitigation, Channel Estimation, and SIMO Data Detection