Attacking the Edge-of-Things: A Physical Attack Perspective

Gai, Keke; Ding, Yaoling; Wang, An; Zhu, Liehuang; Choo, Kim‐Kwang Raymond; Zhang, Qi; Wang, Zhuping

doi:10.1109/jiot.2021.3109917

Cited by 7 publications

(5 citation statements)

References 49 publications

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“…The IPCS system serves as an intelligent platform with numerous connected and autonomous vehicles [11]. However, these devices and terminals in autonomous driving are vulnerable to malicious attacks exploiting security weaknesses in the wireless network [12][13][14]. Attackers can send harmful data to the control system, jeopardizing legitimate operations and vehicle communication.…”

Section: Prior Art and Motivationmentioning

confidence: 99%

Intelligent Security Authentication for Connected and Autonomous Vehicles: Attacks and Defenses

Qiu,

Yu,

Jiang

et al. 2024

Electronics

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The emergence of integrated positioning, communication, and sensing technologies has paved the way for a surge in connected and autonomous vehicles. The control system has been successful in reliable and fast transmission. However, practical applications face security risks, especially data tampering and spoofing attacks. To improve the resilience of the system against potential attacks, we attempt to leverage a generative adversarial network learning-assisted authentication framework (GAF). In addition to proposing a new method for validating vehicles, we also introduce a new architectural innovation in the generator–discriminator pair to achieve improved results. The generator sub-network is constructed using an advanced convolutional neural network, whereas the discriminator is designed to leverage global and local information to determine whether a signal is real or fake. On this basis, we propose a signal enhancement-based authentication method, a deep convolutional generative adversarial network (DCGAN). Experimental results using the National Institute of Standards and Technology (NIST) dataset show that the proposed method is effective in denoising and improving the detection performance.

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Section: Prior Art and Motivationmentioning

confidence: 99%

Intelligent Security Authentication for Connected and Autonomous Vehicles: Attacks and Defenses

Qiu,

Yu,

Jiang

et al. 2024

Electronics

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“…It is reported that attacks on the RNGs are possible, both passively and actively, such as side-channel attacks (SCA) [ 74 ], fault injection attacks [ 75 , 76 , 77 ] and machine learning attacks [ 78 ]. With the rapidly advancing machine learning algorithms, new challenges are coming soon.…”

Section: Trngmentioning

confidence: 99%

“…A fault attack introduces deliberate faults into the computation of the cryptographic function and exploits the faulty results to extract information about the secret key. Environmental elements that can be used for injecting faults are varied, such as high temperature, ultralow temperature, strong electromagnetic, and strong light environment [ 75 ]. For example, most oscillator-based TRNGs are vulnerable to frequency injection attacks [ 76 , 77 ].…”

Section: Trngmentioning

confidence: 99%

Entropy Sources Based on Silicon Chips: True Random Number Generator and Physical Unclonable Function

Cao

Liu

Lan

et al. 2022

Entropy

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Entropy is a measure of uncertainty or randomness. It is the foundation for almost all cryptographic systems. True random number generators (TRNGs) and physical unclonable functions (PUFs) are the silicon primitives to respectively harvest dynamic and static entropy to generate random bit streams. In this survey paper, we present a systematic and comprehensive review of different state-of-the-art methods to harvest entropy from silicon-based devices, including the implementations, applications, and the security of the designs. Furthermore, we conclude the trends of the entropy source design to point out the current spots of entropy harvesting.

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“…Oscillators are important building blocks of analog and digital systems. A ring oscillator (ROSC) is commonly used for generating sinusoidal signals for various applications such as true random number generator [1], current to voltage converter for temperature sensor [2], aging sensor [3], analog and digital converters [4], [5], phase-locked loop [6], for calibrating baseline interconnect path [7]. A ROSC is preferred because it has a robust and compact design and a wide tuning range.…”

Section: Introductionmentioning

confidence: 99%

“…Free-running ROSCs are used in some applications [1], [3]. In most of the applications, tuning of frequency is required [2], [4]- [10].…”

Section: Introductionmentioning

confidence: 99%

A Differential Delay Cell for Ring Oscillators

Singh¹,

SINGH²,

Sakare³

2023

Preprint

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<p>This paper presents a differential delay cell (DDC) for a 3-stage current-starved ring voltage-controlled oscillator (CSRVCO). In the proposed delay cell, pass transistors and a pair of back-to-back transistors are connected in a symmetric structure that helps get less jittery output by providing similar charging and discharging paths from the load capacitor. The current flows from similar paths with the same type and number of transistors in the proposed DDC-based CSRVCO. For verifying the DDC operation, the 3-stage CSRVCO using the proposed DDC is implemented with a standard 65nm CMOS technology with 1V supply. Post-layout simulation results confirm the correct operation of the proposed DDC using the CSRVCO with minimal jitter at the output. The proposed CSRVCO can be tuned from 0.88 GHz to 2.76 GHz. The phase noise of -94.54 dBc Hz was measured at 1MHz offset frequency for the center frequency of 2.76 GHz. The CSRVCO was designed using the proposed DDC occupied area 1198.43 μm2, and dissipated power is 5.19mW.</p>

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Attacking the Edge-of-Things: A Physical Attack Perspective

Cited by 7 publications

References 49 publications

Intelligent Security Authentication for Connected and Autonomous Vehicles: Attacks and Defenses

Intelligent Security Authentication for Connected and Autonomous Vehicles: Attacks and Defenses

Entropy Sources Based on Silicon Chips: True Random Number Generator and Physical Unclonable Function

A Differential Delay Cell for Ring Oscillators

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