Randomness, Uniqueness, and Steadiness Evaluation of Physical Unclonable Functions

Abstract

The development of the Internet of Things (IoT) can be found in various places. However, multiple kinds of attacks have also increased. IoT devices are very vulnerable to attacks, both physical and non-physical, because of their unmanned nature. In non-physical attacks, the most important thing is to secure the data on memory devices. Physical unclonable function (PUF) is the strongest and lightest method to securing memory devices and can be used on unmanned IoT devices. The advantage of PUF over current classical cryptography types is its compatibility on IoT devices with limited computing resources. However, before PUF can be claimed to provide security property, it must meet the evaluation indicators: randomness, uniqueness, and steadiness. PUF can be the best solution for securing data on IoT devices because the encryption process does not put a secret key on the device. Instead, the key is generated randomly. This research is evaluating two different PUF chips with the same PUF design. We designed the arbiter PUF on the FPGA and evaluated the results of the responses given. Through rigorous experiments, this research succeeded to evaluate the three indicators of PUF where the randomness is 54.43%:45.4%, and 25.88%: 74.2%, the uniqueness between chip is 69.53%, and lastly, the steadiness is 89.84%, and 91.41%.