How to add a NIST-Certified Random Number Generator to any IoT device?
Researchers from Bishop Fox recently identified a new critical vulnerability of IoT devices. Their study showed that random number generators (RNGs) used in billions of IoT devices fail to provide sufficient entropy. Insufficient entropy causes predictable instead of random numbers, which severely compromises the foundation of many cryptographic algorithms. Secret keys will lose their strength, leading to broken encryption. So a new approach for generating random numbers is needed. This webinar shows how entropy can be extracted from unpredictable SRAM behavior. Using this method only requires a software installation, meaning the security systems of billions of devices can be patched without any hardware changes, even in devices that have already been deployed. This webinar will explain to you:
- Why having a trusted RNG is important for any IoT device
- How entropy can be harvested from unpredictable SRAM behavior
- How this entropy is used to create a strong RNG
- Which steps have been taken to turn Zign™ RNG into a NIST-certified RNG
About the Speaker
Nicolas Moro holds a PhD in Computer Science from Université Pierre et Marie Curie in Paris. After receiving his PhD, he worked in varying R&D roles at NXP and Imec. Two years ago Nicolas joined Intrinsic ID, where he works as a Senior Embedded Software Engineer. He has extensive experience in embedded systems security and is the author of several research papers about fault injection attacks and software countermeasures.