دسته بندی:

محاسبات کوانتومی - Quantum-Computing

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سال انتشار:

2022

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عنوان انگلیسی مقاله:

Hybrid Quantum-Classical Neural Network for Cloud-Supported In-Vehicle Cyberattack Detection

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ترجمه فارسی عنوان مقاله:

شبکه عصبی ترکیبی کوانتومی کلاسیک برای تشخیص حمله سایبری در خودرو با پشتیبانی از ابر

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منبع:

ieee - ieee Sensors Letters;2022;6;4;10:1109/LSENS:2022:3153931

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نویسنده:

Mhafuzul Islam; Mashrur Chowdhury; Zadid Khan; Sakib Mahmud Khan

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چکیده انگلیسی:

A classical computer works with ones and zeros, whereas a quantum computer uses ones, zeros, and superpositions of ones and zeros, which enables quantum computers to perform a vast number of calculations simultaneously compared to classical computers. In a cloud-supported cyber−physical system environment, running a machine learning application in quantum computers is often difficult, due to the existing limitations of the current quantum devices. However, with the combination of quantum-classical neural networks (NN), complex and high-dimensional features can be extracted by the classical NN to a reduced but more informative feature space to be processed by the existing quantum computers. In this study, we developed a hybrid quantum-classical NN to detect an amplitude shift cyberattack on an in-vehicle controller area network dataset. We showed that by using the hybrid quantum-classical NN, it is possible to achieve an attack detection accuracy of 94%, which is higher than a long short-term memory NN (88%) or quantum NN alone (62%).
Index Terms: Sensor applications, clouds | cyberattack | sensor applications | quantum computing | quantum neural network (NN).

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قیمت: رایگان

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توضیحات اضافی:

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