Multiclass Classification-Based Side-Channel Hybrid Attacks on Strong PUFs

Liu, Wei; Wang, Ruimin; Qi, Xuyan; Jiang, Liehui; Jing, Jing

doi:10.1109/tifs.2022.3152393

Cited by 7 publications

(3 citation statements)

References 39 publications

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“…At present, the widely used ML algorithms mainly include logical regression (LR), support vector machine (SVM) and artificial neural network (ANN) [19].…”

Section: Modeling Attack Algorithmsmentioning

confidence: 99%

A highly stable XOR APUF based on deviation signal screening mechanism

Zhai,

Wang,

et al. 2023

IEICE Electron. Express

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By using the XOR method to obfuscate response of Arbiter PUFs (APUFs), the ability to resist machine learning (ML) modeling attacks can be improved, but this method will reduce the stable of PUF to a certain extent, making PUF lose usability. In view of this, a highly stable XOR APUF (HS-XOR APUF) circuit is proposed by studying the generation mechanism of unstable response bits and the screening characteristics of the logic gates delay signals. First, the maximum and minimum delay signals are screened with AND/OR gate to generate highly stable response bits; Then, by inserting a inverter in the APUF switch unit, the delay time of the signal is increased, and the influence of environmental factors on the comparison signal with small delay deviation is weakened; Finally, the FPGA experimental results show that the response stability of HS-XOR APUF is rarely affected by the count of XOR units, and the AND/OR gate delay signal screening structure is simple and consumes a small amount of hardware resources, which can be widely used in the fields of information security.

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“…At present, the widely used ML algorithms mainly include logical regression (LR), support vector machine (SVM) and artificial neural network (ANN) [19].…”

Section: Modeling Attack Algorithmsmentioning

confidence: 99%

A highly stable XOR APUF based on deviation signal screening mechanism

Zhai,

Wang,

et al. 2023

IEICE Electron. Express

View full text Add to dashboard Cite

show abstract

“…The model is also claimed to resist fault-injection attacks. Liu et al [33] developed a model for strengthening physical unclonable functions by integrating a set of challenges and responses with information from the side channel. Further, a softmax function with a feed-forward neural network is implemented to perform classification.…”

Section: Existing Approachesmentioning

confidence: 99%

“…(iii) The proposed scheme facilitates the verification of adjacent nodes as well as all other actors in a non-iterative way, which acts as a dual layer of security and increases the frequency of authentication suitable for an extensive dynamic network, unlike the existing approaches , which assess only single target nodes. iv) The proposed scheme is capable of resisting differential fault attacks, power-based attacks, timing attacks and cache attacks, which opens up many opportunities for fighting multiple variants of side-channel attacks, whereas existing approaches [24][25][26][27][28][29][30][31][32][33][34][35][36][37][38] are reported to resist only singular forms of attack.…”

Section: Accomplished Outcomementioning

confidence: 99%

Decentralized Blockchain Network for Resisting Side-Channel Attacks in Mobility-Based IoT

et al. 2022

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The inclusion of mobility-based Internet-of-Things (IoT) devices accelerates the data transmission process, thereby catering to IoT users’ demands; however, securing the data transmission in mobility-based IoT is one complex and challenging concern. The adoption of unified security architecture has been identified to prevent side-channel attacks in the IoT, which has been discussed extensively in developing security solutions. Despite blockchain’s apparent superiority in withstanding a wide range of security threats, a careful examination of the relevant literature reveals that some common pitfalls are associated with these methods. Therefore, the proposed scheme introduces a novel computational security framework wherein a branched and decentralized blockchain network is formulated to facilitate coverage from different variants of side-channel IoT attacks that are yet to be adequately reported. A unique blockchain-based authentication approach is designed to secure communication among mobile IoT devices using multiple stages of security implementation with Smart Agreement and physically unclonable functions. Analytical modeling with lightweight finite field encryption is used to create this framework in Python. The study’s benchmark results show that the proposed scheme offers 4% less processing time, 5% less computational overhead, 1% more throughput, 12% less latency, and 30% less energy consumption compared to existing blockchain methods.

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Securing Cyber-Physical Systems: A Strategic Review

Nisha,

Selvakumar

2024

Information Systems Engineering and Management

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Multiclass Classification-Based Side-Channel Hybrid Attacks on Strong PUFs

Cited by 7 publications

References 39 publications

A highly stable XOR APUF based on deviation signal screening mechanism

A highly stable XOR APUF based on deviation signal screening mechanism

Decentralized Blockchain Network for Resisting Side-Channel Attacks in Mobility-Based IoT

Securing Cyber-Physical Systems: A Strategic Review

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