Hardware True Random Number Generators for Secure Embedded Systems
Phystech Technologies Lab
Phystech Technologies Lab is a deep-tech research and engineering team focused on hardware security and embedded systems.
Developed Technologies:
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Universal Remote Control Receivers
Universal Remote Control Receivers
Embedded Video Stream Processing Software
RF Communication Modules
Hardware True Random Number Generators (TRNG)
Hardware True Random Number Generators (TRNG)
RF Communication Modules
Universal Remote Control Receivers
Universal Remote Control Receivers
Embedded Video Stream Processing Software
Radio Frequency Modules
Design and development of RF transmission and reception
systems for embedded and industrial environments, with emphasis on robustness and signal integrity.
Universal Remote-Control Receivers
Multi-protocol hardware receivers designed for industrial
and infrastructure applications, where reliability and compatibility are essential.
Hardware Random Number Generation
Hardware-based entropy generation technologies for
security-critical and embedded systems.
Software for Video Stream Processing
Specialized software for video stream processing in
resource-constrained and embedded systems, focused on efficiency, latency, and system integration.
Physical Process Modelling Technologies
Physics-based modelling and simulation technologies used
to reduce uncertainty, guide design decisions, and improve system predictability.
Research & Technology Research Areas
Our competencies cover a set of closely related
technological domains, unified by a strong physical and engineering foundation.
Generating true random numbers is a challenging problem
in both theoretical and practical contexts. Unlike pseudorandom numbers, which are produced by
deterministic algorithms, true random numbers must be physically unpredictable and free from any patterns.
Our solution is a hardware-based Truly Random Number
Generator built on a unique patented method that relies exclusively on purely digital elements. This
approach enables stable and scalable generation of true random numbers without the limitations typical of
analog or hybrid solutions.
Applications include: cryptographic systems, secure
communications, and embedded or industrial security-critical devices.
Key Characteristics
Truly random by specification
Passing all known statistical randomness tests
Pure digital design (ASIC and FPGA compatible)
No warm-up required
Stable behavior after system start and reboot
No loss of randomness in energy-saving scenarios
Tiny implementation size
Ultimate generation speed
Low power consumption
High scalability, from CPUs to microcontrollers
Hardware-Based Truly Random Number Generator
Flagship Technology
Industrial buses are the backbone of modern automation
systems, enabling communication between sensors, actuators, controllers, and distributed devices. Many
existing solutions, however, remain rigid, polling-based, and difficult to scale in complex systems.
We are developing a medium-speed industrial event-based
communication bus that combines traditional industrial bus principles with modern architectural and coding
innovations.
This technology is currently under development.
Architecture and protocol design are in progress, and we are open to early-stage collaboration with
industrial partners.
Industrial Event-Based Communication Bus
Technology in Preparation
Core Concepts
Event-based data transfer
Multimaster architecture
Automatic collision resolving
One-to-many and many-to-one virtual connections
Technical Characteristics
Advanced coding with strong DC balance
High noise immunity
Industrial-standard signaling and power
Plug-and-Play integration
Flexible and configurable architecture
Support for diverse data types
Trust & Ecosystem
Our work is supported by long-term interaction with
industrial partners, governmental and state-affiliated structures, and research institutions.
We have participated in applied research programs and
technology development initiatives aligned with industrial and public-sector needs. Our technologies and
research activities have also been covered in industry-relevant media.
Where required, details of specific collaborations are
shared under NDA.
Dr. Elena Markou
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Phystech's TRNG work helped us pass internal
security review. Integration notes were thorough and matched how we build firmware releases.
Embedded Security Lead
James Whitfield
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Working with Phystech on pilot hardware gave us
realistic milestones, technical calls, and documentation our compliance team could follow.