Random Power Project

Unpredictability is usually perceived with a sense of uneasiness and discomfort. However, when it comes to secure our data, information, posts, pictures and whatever flows to (or from) the internet about us, protection relies on unpredictability. The impossibility for an eavesdropper or a hacker to break the walls protecting what sits on the net about us depends on secret keys, protocols, cyphering algorithms namely the art & science of cryptography. Keys, essential to lock&unlock the doors, must be randomly generated. And true randomness implies unpredictability.

Random Power developed a True Random Bit Generator for key generation and beyond and aims at providing a secure, cost-effective, robust and tiny device for the IoT, automotive and mobile markets.

While testing out performances of our TRNG with respect to different PRGN, RandomPower team found and helped to resolve, a bug for a GPU based PRNG in Java: https://www.npmjs.com/package/gpu.js/v/2.2.0. We want to thanks to gpu.js team for the acknowledgement!

Join the First Random Power Hackathon @ IdeaSquareCERN!

As anticipated, until when a proper IP protection scheme is implemented, not very much can be disclosed.
However, we can say that our bitstream was fully qualified through the NIST Random Test Suite and the generated sequences do pass all of the tests with flying colours. Click here to download a data sample and the NIST tests results.

 

If you want some more bits, and evaluate the quality of our bitstream for your application, just send an email to info@randompower.eu to get in touch with us and receive more bits and information!

As of today, Random Power developed a qualification board, and a Minimum Viable Product (MVP) Board  offering end-users the possibility to generate and transmit random bitstreams while varying a variety of system parameters.

Italian Patent Pending n. 102018000009064

PCT extension: PCT/IB2019/058340

Qualification Board

• no. of sources of randomness: 1
• Temperature control in the -10 °C to 70°C range (Peltier cooler based)
• Actual generated random bit stream: 1 Mbps
• Actual transmitted random bitstream: 20 kbps (Limited from actual electronics implementation)
• Websocket based control & bit transmission
• Supply voltage: 5V – 1A
• Dimensions: 70x75x55 mm
• Matlab or C# based Graphical User Interface

Random Power Leaflet

MVP Board

• no. of sources of randomness: 1
• Output bit stream: 200 kBit/s
• USB comunication trought FTD2xx driver
• Supply voltage: 5V – 1A (Via USB connection)
• Dimensions: 80x35x5 mm3
• Python Based GUI and libraries

If you want some of our bits, just send an email to info@randompower.eu to get in touch with us and receive some of our bits!

 

                                          

This project has received funding from the ATTRACT project funded by the EC under Grant Agreement 777222 (www.attract-eu.com)

The team is lead by Massimo Caccia, full Professor at the University of Insubria, and the consortium is made by 2 research institutions and 2 companies:

• Università degli Studi dell’Insubria, Italy
• AGH University of Science and Technology, Poland
• Nuclear Instruments SRL, Italy
• Quantum Financial Analytics, Italy

Find out more about the Random Power Project within ATTRACT initiative here: https://attract-eu.com/selected-projects/in-silico-quantum-generation-of-random-bit-streams-random-power/

	Massimo Caccia is full professor of particle physics @ Università degli Studi dell’Insubria (Como – Italy). High level education at Università di Torino and Milano, Ph.D. in Physics, he grew up scientifically at CERN, the house of the Large Hadron Collider. His interest lies with particle detector development and applications to fundamental research and industry. massimo.caccia@randompower.eu
	Luca Malinverno is a PhD Student @ Università degli Studi dell’Insubria (Como – Italy). He collaborates in a joint research project related to radionuclides identification for security application. His interest lies with security issue, from IoT to nuclear security. luca.malinverno@randompower.eu
	Lorenza Paolucci is part of the administrative offices @ Università degli Studi dell’Insubria (Como – Italy). Her interests lies with technology transfer and IP protection. lorenza.paolucci@randompower.eu
	Marcello Esposito is CEO of Quantum Financial Analytics and founder of other hi-tech startup, like CreativitySafe. His professional career has been in the financial services sector, with a special focus in derivatives pricing and asset management. Born in 1963, he took his degree from Bocconi University and then moved to London School of Economics where he earned a MSc and an MPhil in economics. He writes for newspapers and blogs and he is a passionate civil campaigner. Currently, he is realizing a forensics webservice for empowering victims of cyberbullism and stalking, helping them collect evidence. master@quantumfin.it
	Wojciech Kucewicz is working at the Department of Electronics of AGH- University of Science and Technology. He is a specialist in silicon detectors of ionizing radiation and has participated in its development since the moment when they first appeared in applications for physics experiments at colliders. In the 80s and 90s he participated in the pioneering work related to the construction of silicon vertex detector at CERN in Switzerland. Since 2000 he also is involved in the development of measurement systems based on Silicon Photomultipliers. He spent many years working at foreign universities: Milan University -Italy, Strasbourg University – France, University of Illinois at Chicago, – USA, Karlsruhe University – Germany, Insubria University at Como – Italy, and Ferrara University – Italy. His scientific achievements include over 500 publications. kucewicz@uci.agh.edu.pl
	Nuclear Instruments Nuclear Instruments (NI) is a company operating in the nuclear and particle physics field, supporting research laboratories, governmental institutions and companies. The founders (Andrea Abba, Alberto Cusimano e Francesco Caponio) grew up as electronics designers at Politecnico di Milano and they founded NI in 2013, since the invention of the Digital Detector Emulator, yet today a reference tool. Today NI focuses on the design of custom readout systems and testing instrumentation for radiation detectors using state of the art technologies, in collaboration with world class universities and research organisations.  info@nuclearinstruments.eu