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Titlebook: Emerging Trends in Cybersecurity Applications; Kevin Daimi,Abeer Alsadoon,Nour El Madhoun Book 2023 The Editor(s) (if applicable) and The

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書目名稱Emerging Trends in Cybersecurity Applications
編輯Kevin Daimi,Abeer Alsadoon,Nour El Madhoun
視頻videohttp://file.papertrans.cn/309/308498/308498.mp4
概述Provides a professional resource for educators and practitioners on cybersecurity applications materials.Introduces various techniques, methods, and approaches adopted by cybersecurity applications ex
圖書封面Titlebook: Emerging Trends in Cybersecurity Applications; Kevin Daimi,Abeer Alsadoon,Nour El Madhoun Book 2023 The Editor(s) (if applicable) and The
描述.This book provides an essential compilation of relevant and cutting edge academic and industry work on key cybersecurity applications topics. Further, it introduces cybersecurity applications to the public at large to develop their cybersecurity applications knowledge and awareness. The book concentrates on a wide range of advances related to Cybersecurity Applications which include, among others, applications in the areas of Data Science, Internet of Things, Artificial Intelligence, Robotics, Web, High-Tech Systems, Cyber-Physical Systems, Mobile Devices, Digital Media, and Cloud Computing. It introduces the concepts, techniques, methods, approaches and trends needed by cybersecurity application specialists and educators for keeping current their cybersecurity applications knowledge. Further, it provides a glimpse of future directions where cybersecurity applications are headed. The book can be a valuable resource to applied cybersecurity experts towards their professional development efforts and to students as a supplement to their cybersecurity courses..
出版日期Book 2023
關(guān)鍵詞Cybersecurity Applications; Data Science; Internet of Things; Artificial Intelligence; Robotics; Cyber-Ph
版次1
doihttps://doi.org/10.1007/978-3-031-09640-2
isbn_softcover978-3-031-09642-6
isbn_ebook978-3-031-09640-2
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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A New Paradigm: Protecting Market Share?ection. These attacks can compromise the privacy of the monitored patient, reduce the reliability of the monitoring system, and may harm the life of monitored patient. In this chapter, we propose a new framework to detect attacks and secure the communications in IoMT. To prevent eavesdropping and mo
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OPEN States in the Global Economyhis chapter, we tried to enforce a zero-trust pattern. Every request and response gets authenticated before operating. The framework described in this chapter sets the path to end-to-end secured communication for IoT devices.
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Clinical Manifestation of Cervical OPLLfective IoT attack detection model from both labelled and unlabelled data collected from multiple IoT devices. The proposed solution combines the Multi-Maximum Mean Discrepancy (M2D) distance and two AutoEncoder (AE) networks named as Multi-Maximum Mean Discrepancy AutoEncoder (M2DA). The first AE i
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Overview of Epidemiology and Genetics as follows: first, provide a full implementation that is ready to be deployed and used by users. Second, conduct a user study to identify the effectiveness and limitations of our proposed approach. Our implementation is based on using more than 52 thousand unique browsers. Our performance and valid
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Plastische Chirurgie – ?sthetische Chirurgie of data owners and data users in fog computing environment (IBPSC-SGG-FCE). The use of fog computing layer provides excellent response times, reliability, and enhanced privacy. H.EC enhances network computation efficiency. Formal security analysis is used to assess the toughness of security measure
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