2–4 Oct 2019
Università di Bari
Europe/Rome timezone

In-Silico generation of random bit streams

4 Oct 2019, 11:40
20m
Centro Polifunzionale Studenti (Università di Bari)

Centro Polifunzionale Studenti

Università di Bari

Piazza Umberto I 70121 Bari (Italy)

Speaker

Prof. Massimo Caccia (Università dell'Insubria)

Description

Silicon PhotoMultipliers (SiPM) are rapidly approaching a significant maturity stage, making them a well recognised platform for the development of evolutionary and novel solutions in a wide range of applications for research and industry. However, they are still affected by stochastic terms, notably a high Dark Count Rate (DCR), limiting their use when single photo-electron pulses convey the required information, for instance in chemiluminescence or fluorescence analysis of biological samples. In such applications, randomness of the spontaneous generation of carriers triggering the avalanche and the rate of occurrences is significantly decreasing the sensitivity of the system against solutions based, for instance, on traditional photo-multiplier tubes.

However, unpredictability of the "dark" pulses has a potential value in domains connected to encryption and, in general terms, cybersecurity. "Random Power" is a project approved within the ATTRACT call for proposals (https://attract-eu.com), having as a main goal the generation of random bit streams by properly analysing the time sequence of the Dark Pulses.
The principle has been proven using laboratory equipment and its value assessed applying the National Institute of Standard and Technology (NIST) protocols, complemented by other test suites. The advantages against competing techniques have been thoroughly analysed and the development of a dedicated board, integrating the system in a low cost, low power, scalable design is on-going.

The principle, protected by a patent application entering its international phase by the time of writing (application no.102018000009064, deposited at the Office of the Minister of Economic Development, as required by the Italian law) will be described, together with the results obtained so far, the current development stage including an FPGA embedded Time-To-Digital Converter (TDC) and the future perspectives.

Primary author

Prof. Massimo Caccia (Università dell'Insubria)

Co-authors

Prof. Wojtek Kucewicz (AGH - University of Science and Technology) Dr Andrea Abba (Nuclear Instruments s.r.l.) Dr Esposito Marcello (Quantum Financial Analytics) Dr Luca Malinverno (Università dell'Insubria) Dr Mateusz Baszczyk (AGH - University of Science and Technology) Dr Piotr Dorosz (AGH - University of Science and technology)

Presentation materials