Study On The Methods Of Simulating And Predicting The Key Properties Of SRAM PUF

The emergence of PUF technique provides a security-effective mechanism for avoiding chip's physically invasive attack.PUF have been proposed as central building blocks in a variety of cryptographic protocols and security architectures.Various types of PUFs have been proposed.But hitherto there is no common standardized method that can fairly compare them in terms of their performances and the security features of PUF are still under investigation due to varying testing conditions,different analyzing methods and the fact that representative data sets are publicly unavailable,which is a challenge for the PUF system developers to choose the optimal PUF.In this paper,we focus on the research and predicting methods of stability(robustness)and randomness(unpredictability)for the most widely used PUF among all kinds of PUFs in HIS(Hardware Intrinsic Security)technique,which is SRAM PUF.On one hand,we propose a PSNM model for SRAM cell when used as PUF based on one of the stability indices for traditionally used SRAM cell,named SNM.On the other hand,using the relationship of energy and entropy in thermodynamics for reference,we proposed an idea that there existing a certain relationship between the absorbed energy during SRAM cell's starting up and the entropy of its start-up value.Based on PSNM and entropy-energy relationship,an on-chip test platform and a simulating test platform for SRAM PUF are set up.The experimental results show that the PSNM model based on SNM of SRAM cell is reasonable and the relationship of energy and entropy in thermodynamics can be planted to the SRAM PUF's research about its randomness nicely.Though the security properties of PUF can be evaluated theoretically,based on mathematical models of the underling physics,mathematical models never capture physical reality in its full extent,which means the proposed theoretically analytical models are not that perfect and still need improvements for better prediction.