دانلود مقاله انگلیسی رایگان:ادراک شنوایی در مقابل سیستم های مبتنی بر چهره برای برآورد سن انسان در محیط های بدون نظارت: از اقدامات متقابل تا چند حالته - 2021
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  • Auditory perception vs: face based systems for human age estimation in unsupervised environments: from countermeasure to multimodality Auditory perception vs: face based systems for human age estimation in unsupervised environments: from countermeasure to multimodality
    Auditory perception vs: face based systems for human age estimation in unsupervised environments: from countermeasure to multimodality

    سال انتشار:

    2021


    عنوان انگلیسی مقاله:

    Auditory perception vs: face based systems for human age estimation in unsupervised environments: from countermeasure to multimodality


    ترجمه فارسی عنوان مقاله:

    ادراک شنوایی در مقابل سیستم های مبتنی بر چهره برای برآورد سن انسان در محیط های بدون نظارت: از اقدامات متقابل تا چند حالته


    منبع:

    Sciencedirect - Elsevier - Pattern Recognition Letters, 142 (2021) 39-45: doi:10:1016/j:patrec:2020:11:016


    نویسنده:

    Muhammad Ilyas


    چکیده انگلیسی:

    Cyber–Physical System (CPS) are widely used in various areas such as industrial manufacturing, telemedicine and energy, etc. Specifically, industrial medical CPS utilizes various medical devices connected to the network to realize real-time management and treatment of patient. However, the underlying wireless channel makes industrial medical CPS vulnerable to external attacks, which may leak patient privacy and even threaten patients’ lives. Besides, most of the authentication schemes are not suitable for real-time applications such as medical CPS due to the latency. Hence, the artificial intelligence (AI) techniques can be useful in this environment to cater to the aforementioned challenges. It necessitates constructing a secure and lightweight authentication protocol to prevent the unauthorized access and control of medical devices. Traditional authentication schemes adopt a password-based or smartcard to validate the authenticity of users, which may suffer from password guessing or smartcard lost attack. However, the AI-assisted biometrics technique can effectively resist the aforementioned attacks. Therefore, an AI-assisted lightweight authentication protocol for real-time access using a Chebyshev map in industrial medical CPS is designed in this paper, which is robust and resolve security and privacy issues. The proposed protocol is capable of resisting various known attacks through security analysis. The proposed protocol has less computational overhead with a slight increase in communication overhead. Also, the proposed protocol supports stringent security features and functionalities compared to other existing protocols.
    Keywords: Chebyshev map | Medical CPS | Authentication | Security and privacy | AI-assisted


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 11
    حجم فایل: 1064 کیلوبایت

    قیمت: رایگان


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