True Random and Pseudorandom Number Generator
The true random generator core implements true random number generation.
Overview
The true random generator core implements true random number generation. The core passes the American NIST Special Publication 800-22 and Diehard Random Tests Suites. It is compliant with FIPS 140-2 Annex C.
Basic core is very small (8,000 gates) and contains the random seed source and a PRNG1 cryptographically secure pseudo-random generator core.
The design is fully synchronous, with the exception of the seed part, and available in both source and netlist form.
The core is supplied as portable Verilog (VHDL version available) thus allowing customers to carry out an internal code review to ensure its security.
Key features
- Satisfies Federal Information Processing Standard (FIPS) Publication 140-2 Annex C (“approved” random number generator) from the US National Institute of Standards and Technology (NIST). Passes the requirements of the NIST SP 800-22.
- High security (128 bit entropy; 256 version available)
- Initial seed provided from internal entropy source
- Automatic re-seeding
- High data rate
- Completely self-contained: does not require external memory
- Available as fully functional and synthesizable Verilog.
- Deliverables include synthesis scripts
Block Diagram
Applications
- Secure wireless communications, including IEEE 802.16 WiMAX, 802.11 Wi-Fi WLAN, 802.15.3, 802.15.4 (ZigBee), MBOA, 802.16e
- Electronic financial transactions, smart cards
- Content protection, digital rights management (DRM), set-top boxes
- Secure video surveillance systems
- Military communication systems
- Encrypted data storage
- Secure RFID
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 and Pseudorandom Number Generator?
True Random and Pseudorandom Number Generator is a Random Number Generator IP core from IP Cores, 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.