@inproceedings{85a4fd29649c4892a7a25eeae061383c,
title = "Examination of Double Arbiter PUFs on Security against Machine Learning Attacks",
abstract = "Security is important for the functioning of Internet-of-Things (IoTs). Many IoT devices are closely physically approachable by the crowd, making cryptographic key-based security protocols vulnerable to side-channel attacks. Physical Unclonable Functions (PUF) are emerging as a promising keyless solution by utilizing inherent variations of integrated circuits (ICs) to produce different responses from different devices. While physically unclonable, some PUFs were reported to be mathematically clonable by machine learning (ML) methods. XOR PUFs are a group of PUFs mathematically clonable when a large number of challenge-response pairs (CRPs) are available to attackers. Double Arbiter PUFs (DAPUFs) were developed for increased security against machine learning attacks over XOR PUFs, and studies showed that DAPUFs are highly secure against attacks using Support Vector Machine (SVM). In this paper, we investigate how secure DAPUFs are against neural network-based attack methods and compare the DAPUFs' performance with that of XOR PUFs. The results confirm with existing studies on DAPUFs' higher security when compared with XOR PUFs, but also discovered that DAPUFs are not secure against neural network-based attacks if attackers can obtain a large number of CRPs, revealing a security vulnerability of those DAPUFs we examined in this study.",
keywords = "Double Arbiter PUF, Internet Of Things, Machine Learning, Physical Unclonable Functions",
author = "Alamro, {Meznah A.} and Yu Zhuang and Aseeri, {Ahmad O.} and Alkatheiri, {Mohammed Saeed}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Big Data, Big Data 2019 ; Conference date: 09-12-2019 Through 12-12-2019",
year = "2019",
month = dec,
doi = "10.1109/BigData47090.2019.9006041",
language = "English",
series = "Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3165--3171",
editor = "Chaitanya Baru and Jun Huan and Latifur Khan and Hu, {Xiaohua Tony} and Ronay Ak and Yuanyuan Tian and Roger Barga and Carlo Zaniolo and Kisung Lee and Ye, {Yanfang Fanny}",
booktitle = "Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019",
}