Extração de assinaturas de identificação de memória flash baseado em PUF com Arduino e validação com Perceptron Multicamadas

Abstract

Device’s identity management is considered a core component of IoT security. Themain authentication methods use the concept of cryptographic key, this means that these curity provided by encryption is directly related to the key’s secrecy capacity. If thiskey is known by an intruder, the entire communication process is compromised sincethe messages’ content can be decrypted. The manufacture of some electronic devices may influence their physical behavior due to the existence of uncontrollable variables in-herent in the manufacturing process. Physical Unclonable Functions (PUF) techniquescan use these variables as a source for generating chip’s identification signatures. Thiswork proposes a flash memory identification approach, due to the wides pread use ofthis type of memory in current mobile devices, which use a memory block sequence verification technique based on the Program Operation Latency technique. With thisaim, the Arduino platform was used as a tool for extracting these identification signa-tures, togheter with a validation of the signatures conducted by a MultiLayer Perceptron(MLP). Who was able to learn enough about these signatures and generalize in the fu-ture, and correctly classified the classes of identification signatures used in the tests,thus supporting a flash memory’s differentiation mechanism.