论文标题

确保不安全:在THZ频段运行的纳米级通信系统的一线防御

Securing the Insecure: A First-Line-of-Defense for Nanoscale Communication Systems Operating in THz Band

论文作者

Aman, Waqas, Rahman, M. Mahboob Ur, Abbas, Hassan T., Khalid, Muhammad Arslan, Imran, Muhammad A., Alomainy, Akram, Abbasi, Qammer H.

论文摘要

预计在Ter-Ahertz(THZ)频段运行的纳米级通信系统将彻底改变未来的医疗系统。全球无线数据流量正在快速增长。但是,由于无线系统的广泛性质,无线系统容易受到恶意安全漏洞的影响。误解,量子计算的进步对现有的基于Crypto的信息安全构成了风险。最重要的是,THZ系统对潜在的主动和空白塔的弹性有抵抗力,这可能会导致毁灭性后果,尤其是在处理医疗保健系统中敏感的患者数据时。需要新闻策略来分析这些恶意攻击和可行的可行对策。在此手稿中,我们介绍了在物理层在THZ频段运行的纳米级通信系统的新身份验证机制。我们评估了对THZ系统的模仿攻击。我们建议将路径损失作为指纹,通过对传输设备进行两孔平化测试进行身份验证。我们使用Hisdingmarkov模型(HMM)Viterbi算法来增强假设测试的输出。我们还通过最大可能性和高斯混合模型(GMM)期望最大化算法进行了发射机识别。我们的模拟显示了误差概率是SNR的降低函数。在10 dB时,有0.2误报,几乎是检测概率。我们进一步观察到,在低SNR状态下的HMM表现假设(记录了10%的准确性提高SNR = 5 dB),而当地面确实嘈杂时,GMM很有用。我们的工作解决了通过恶意违规量子计算来解决通信系统面临的主要安全差距,从而为行业4.0的纳米级系统提供了新的应用。

Nanoscale communication systems operating in Ter-ahertz (THz) band are anticipated to revolutionise the healthcaresystems of the future. Global wireless data traffic is undergoinga rapid growth. However, wireless systems, due to their broad-casting nature, are vulnerable to malicious security breaches. Inaddition, advances in quantum computing poses a risk to existingcrypto-based information security. It is of the utmost importanceto make the THz systems resilient to potential active and passiveattacks which may lead to devastating consequences, especiallywhen handling sensitive patient data in healthcare systems. Newstrategies are needed to analyse these malicious attacks and topropose viable countermeasures. In this manuscript, we presenta new authentication mechanism for nanoscale communicationsystems operating in THz band at the physical layer. We assessedan impersonation attack on a THz system. We propose usingpath loss as a fingerprint to conduct authentication via two-stephypothesis testing for a transmission device. We used hiddenMarkov Model (HMM) viterbi algorithm to enhance the outputof hypothesis testing. We also conducted transmitter identificationusing maximum likelihood and Gaussian mixture model (GMM)expectation maximization algorithms. Our simulations showedthat the error probabilities are a decreasing functions of SNR. At 10 dB with 0.2 false alarm, the detection probability was almostone. We further observed that HMM out-performs hypothesistesting at low SNR regime (10% increase in accuracy is recordedat SNR =5 dB) whereas the GMM is useful when groundtruths are noisy. Our work addresses major security gaps facedby communication system either through malicious breachesor quantum computing, enabling new applications of nanoscalesystems for Industry 4.0.

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