دسته بندی:
محاسبات کوانتومی - Quantum-Computing
سال انتشار:
2022
عنوان انگلیسی مقاله:
Hybrid Quantum-Classical Neural Network for Cloud-Supported In-Vehicle Cyberattack Detection
ترجمه فارسی عنوان مقاله:
شبکه عصبی ترکیبی کوانتومی کلاسیک برای تشخیص حمله سایبری در خودرو با پشتیبانی از ابر
منبع:
ieee - ieee Sensors Letters;2022;6;4;10:1109/LSENS:2022:3153931
نویسنده:
Mhafuzul Islam; Mashrur Chowdhury; Zadid Khan; Sakib Mahmud Khan
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).
قیمت: رایگان
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