True Random Number Generators
The security strength of many systems and applications is dependent on the quality of random number generators.
Overview
The security strength of many systems and applications is dependent on the quality of random number generators. Many cryptographic operations require a source of random numbers, such as the creation of cipher keys and initial values for counters and protocol parameters.
The Synopsys True Random Number Generator (TRNG) is classified as a Non-deterministic Random Bit Generator (NRBG) using the terminology preferred by the National Institute of Standards and Technology (NIST). The noise source does not depend on process-specific circuitry and is therefore very portable across different ASIC and FPGA fabrication technologies.
Benefits
- Designed for compliance with FIPS 140-2/140-3 and OSCCA certifications
- Customer configurable
- Area: 15-20K ASIC gates
- Performance: 125 Mbps at 500 MHz
- Wide system clock dynamic range
- Redundant internal seed generators
- Selectable number of seed generators: 6 or 8
- Automatic and manual reseeding
- Two independent background automatic reseed modes
- Shift register compatible output stream for auxiliary uses: Differential power analysis; Timing analysis
- Interfaces: Memory mapped (AXI/AHB/APB); Serial random bit stream; Nonce interface compatible with Synopsys HDCP Content Protection ESMs
Applications
- Security protocols
- Networking
- MobileConsumer electronics
- IoT
- Automotive
- Government/Military
What’s Included?
- Verilog HDL developed in compliance with the IEEE 1364 Verilog-2005 standard
- Testbench and test vectors
- Sample synthesis script and constraints
- Sample simulation script
- Documentation
- Reference software development kit (SDK)
Specifications
Identity
Security
Files
Note: some files may require an NDA depending on provider policy.
Provider
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Frequently asked questions about Random Number Generator IP cores
What is True Random Number Generators?
True Random Number Generators is a Random Number Generator IP core from Synopsys, Inc. listed on Semi IP Hub.
How should engineers evaluate this Random Number Generator?
Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this Random Number Generator IP.
Can this semiconductor IP be compared with similar products?
Yes. Buyers can compare this product with similar semiconductor IP cores or IP families based on category, provider, process options, and structured technical specifications.