Image Sensor Based Composite-Pattern-Noise Physical Unclonable Function

With the increasing popularity of various mobile devices(smart cards,smart phones,tablets,smart bracelets and watches)in recent years,people are beginning to realize the importance of hardware security issues.In the past,most encryption methods were based on cryptography.An attacker could use an intrusion or non-intrusion method to enter a hardware device and obtain a key to crack the encryption system.Such short board of the traditional encryption method has been noticed by many researchers.Therefore,in recent years,the Physical Unclonable Function(PUF)has come to the attention of many people as a new encryption method,and has become an increasingly popular research topic.The Physical Unclonable Function is a new type of cryptographic component with characteristics such as unclonability,unpredictability and difficulty in characterization.It is mainly based on the inevitable random deviation of the device during the manufacturing process.Image sensor is a commonly used digital circuit device.In the process of image acquisition,due to the inevitable random difference between each pixel sensor,the image has a certain random characteristic known as Image Pattern Noise and can be used in the PUF hardware encryption.This thesis proposes a Composite Pattern Noise PUF(CPN-PUF)based on the noise characteristic of image sensor.Improvements were achieved on the Photo-Response Non-Uniformity based PUF(PRNU-PUF).The new PUF combines the image sensor's Fixed Pattern Noise(FPN)and PRNU features,which are both stable and independent.Compared with traditional image sensor PUF,the new CPN-PUF enhances security as well as ensures functionality.Meanwhile,the CPN-PUF proposed in this thesis also has better performance and higher system sensitivity.