Oligo-Snoop:对DNA合成机的非侵入性侧通道攻击

Sina Faezi, Sujit Rokka Chhetri, A. Malawade, J. Chaput, William H. Grover, P. Brisk, M. A. Faruque
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引用次数: 25

摘要

合成生物学正在成为一个有发展前途的科学和工程领域。这一领域的一项使能技术是DNA合成器。它允许研究人员使用核碱基定制构建寡核苷酸(短DNA链)序列:腺嘌呤(A),鸟嘌呤(G),胞嘧啶(C)和胸腺嘧啶(T)。将这些序列整合到生物体中可以提高植物,动物和人类的抗病能力和寿命。因此,许多实验室花费大量资金研究和开发独特的寡核苷酸序列。然而,这些DNA合成器是完全自动化的系统,具有网络域过程和物理域组件。因此,它们可能像任何其他计算系统一样容易出现安全漏洞。在我们的工作中,我们提出了一种新的声学侧信道攻击方法,该方法可用于DNA合成器,以破坏其机密性并窃取有价值的寡核苷酸序列。我们提出的攻击方法在预测每个碱基的平均准确率为88.07%,并且能够在4种可能性中进行少于21次猜测,以100%的准确率重建短序列。我们评估了我们的攻击对麦克风与DNA合成器距离的影响,并表明当麦克风放置在距离DNA合成器0.7米远的地方时,尽管存在公共房间噪声,我们的攻击方法可以达到80%以上的准确率。此外,我们重建了DNA序列,以显示具有生物医学领域知识的攻击者如何有效地使用所提出的攻击方法推导出序列的预期功能。据我们所知,这是第一个强调对用于合成DNA分子的系统进行这种攻击的可能性的方法。
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Oligo-Snoop: A Non-Invasive Side Channel Attack Against DNA Synthesis Machines
Synthetic biology is developing into a promising science and engineering field. One of the enabling technologies for this field is the DNA synthesizer. It allows researchers to custom-build sequences of oligonucleotides (short DNA strands) using the nucleobases: Adenine (A), Guanine (G), Cytosine (C), and Thymine (T). Incorporating these sequences into organisms can result in improved disease resistance and lifespan for plants, animals, and humans. Hence, many laboratories spend large amounts of capital researching and developing unique sequences of oligonucleotides. However, these DNA synthesizers are fully automated systems with cyber-domain processes and physical domain components. Hence, they may be prone to security breaches like any other computing system. In our work, we present a novel acoustic side-channel attack methodology which can be used on DNA synthesizers to breach their confidentiality and steal valuable oligonucleotide sequences. Our proposed attack methodology achieves an average accuracy of 88.07% in predicting each base and is able to reconstruct short sequences with 100% accuracy by making less than 21 guesses out of 4 possibilities. We evaluate our attack against the effects of the microphone’s distance from the DNA synthesizer and show that our attack methodology can achieve over 80% accuracy when the microphone is placed as far as 0.7 meters from the DNA synthesizer despite the presence of common room noise. In addition, we reconstruct DNA sequences to show how effectively an attacker with biomedical-domain knowledge would be able to derive the intended functionality of the sequence using the proposed attack methodology. To the best of our knowledge, this is the first methodology that highlights the possibility of such an attack on systems used to synthesize DNA molecules.
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