Traditional random number generators like PRNG and TRNG are deterministic and reproducable if all the input variables are known. These random number generators being deterministic are entropy starved. Hence, making the entire system vulnerable.
Indeterministic input driving unpredictability
Uniform distribution of bits in sequence
Lack of patterns in the sequence
Tropos - quantum random number generator (QRNG) uses the principles of quantum mechanics to generate truly random nondeterministic numbers. By fact, quantum physics is fundamentally random in nature and is confirmed by theory and experimental research.
Quantum Random Number Generator is a highly-sophisticated engineering innovation which involves the power of complex deep-tech technologies (such as semiconductors, optoelectronics, high precision electronics and quantum physics) working together to create the highest level of randomness possible.
A laser-based quantum source generates the randomness in Tropos - quantum random number generator (QRNG). To elaborate on the process, a laser produces a stream of the elementary particle, photon. The photons generated from the laser are used to generate the random numbers using the "Time-of-Arrival" of the single photons on the single photon detector.
The following diagram depicts the process from photon generation to random number output. The process starts with the generation of light from a laser source, which is converted into single-photon level using variable optical attenuators. The photons are then sent onto a SPD (Single Photon Detector) where the detection time bin of the photon is recorded using external time reference.
The photon has a uniform probability of hitting any particular time bin. No one knows behorehand in which particular time bin the detection will happen even if all the parameters about the state preparation, state propagation, and detection are revealed. It is during the detection instant, photon collapses to one particular time bin.
The test suits check the randomness of the bits. Only if the conditions are met, they are forwarded to the applications or users requesting the random numbers. RESTful interface is the typical API used for the transfer of random numbers from Tropos to external applications or end users.
Today's applications require a high rate of keys and randomness to ensure complete security. It could be key vaults, gaming, IoT devices, AI/ML, block chains, simulations, in addition to critical infrastructure.
Tropos QRNG forms the source of these applications where the trust on randomness is paramount. With true entropy and high rate of generation, it fulfils today’s need for a perfect source.
Perfect Random Keys
High Rate of Entropy
High Throughput Key Rates
Multiple Application Usage
True Random numbers play an important role in data security to provide robust encryption. QRNG from QNu labs addresses different data rates and standard interfaces to cater to multiple applications.
Random numbers are used as seed in cryptosystems to generate keys. The strength of these keys depends on randomness of the input seed.
Pseudorandom number generator (PRNG) is a typical software-based algorithm that generates data from a seed number and converts that into random values.
By using hardware inputs, TRNGs create random values. TRNG uses avalanche noise, thermal noise, and atmospheric noise as inputs.
PRNGs and TRNGs are predictable, making them vulnerable. QRNGs, leveraging quantum physics, generate true randomness and provide the best random keys.
Data is the most valuable asset for any organisation. Sensitive data has a shelf life exceeding 10 years, while critical data can be stored for over 25 years. This shows that today’s encryption still poses a risk in the coming years.
Transitioning to Post-Quantum Cryptography will help secure your data and reduce the risk of data theft now and in the future.