A New RFPUF Based Authentication of Internet of Things Using Random Forest Classification This paper presents a novel RFPUF based authentication framework which exploits the intrinsic nonidealities in physical characteristic of a devicemedium to generate a unique identity for wireless nodes. It also takes the advantage of Random Forest classification to securely identify the sender nodes based on their unique features extracting from alreadyexisting modules in the receiver side. In contrast to the neural networkbased schemes, our proposed approach incurs lower design complexity and overheads, while it no longer needs a large amount of preparatory and preprocessing works related to the learning process and adjusting the network parameters. Thus, the overall runtime required to preparing and testing of network is drastically lessened. The experimental results show that the proposed scheme can reach to 100% accuracy in the identification of 225 nodes when a forest network with 100 trees and depth of 20 is developed, posing a negligible overhead on the receiver side. This high accuracy can be nearly achieved even in the presence of channel variations as our approach has less sensitivity to environmental conditions.

An RFID Lightweight Authentication Technology Based on PUFRFID Structure Model With the rapid development of radio frequency identification (RFID) technology, RFID devices are beginning to exist widely in our daily lives, and people are paying more and more attention to RFID security. Traditional RFIDbased encryption algorithms rely on expensive Hash function. Therefore, this paper proposes a lightweight RFID authentication protocol based on Physically Unclonable Functions (PUF), which uses the machine learning algorithm and stringmatching algorithm, and presents a new mechanism of PUF challenge generation, which does not require expensive error correction code and fuzzy extractor. The implementation cost is lower. Through our security analysis, our identity authentication protocol can provide reliable security for lowcost RFID systems.