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Heterogenous Computational Intelligence in Internet of Things (Paperback)
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 103242639X ISBN 13: 9781032426396
Language: English
Paperback. Condition: new. Paperback. We have seen a sharp increase in the development of data transfer techniques in the networking industry over the past few years. We can see that the photos are assisting clinicians in detecting infection in patients even in the current COVID-19 pandemic condition. With the aid of ML/AI, medical imaging, such as lung X-rays for COVID-19 infection, is crucial in the early detection of many diseases. We also learned that in the COVID-19 scenario, both wired and wireless networking are improved for data transfer but have network congestion. An intriguing concept that has the ability to reduce spectrum congestion and continuously offer new network services is providing wireless network virtualization. The degree of virtualization and resource sharing varies between the paradigms. Each paradigm has both technical and non-technical issues that need to be handled before wireless virtualization becomes a common technology. For wireless network virtualization to be successful, these issues need careful design and evaluation. Future wireless network architecture must adhere to a number of Quality of Service (QoS) requirements. Virtualization has been extended to wireless networks as well as conventional ones. By enabling multi-tenancy and tailored services with a wider range of carrier frequencies, it improves efficiency and utilization. In the IoT environment, wireless users are heterogeneous, and the network state is dynamic, making network control problems extremely difficult to solve as dimensionality and computational complexity keep rising quickly. Deep Reinforcement Learning (DRL) has been developed by the use of Deep Neural Networks (DNNs) as a potential approach to solve high-dimensional and continuous control issues effectively. Deep Reinforcement Learning techniques provide great potential in IoT, edge and SDN scenarios and are used in heterogeneous networks for IoT-based management on the QoS required by each Software Defined Network (SDN) service. While DRL has shown great potential to solve emerging problems in complex wireless network virtualization, there are still domain-specific challenges that require further study, including the design of adequate DNN architectures with 5G network optimization issues, resource discovery and allocation, developing intelligent mechanisms that allow the automated and dynamic management of the virtual communications established in the SDNs which is considered as research perspective. Despite DRL, there are still domain-specific challenges in complex wireless network virtualization requiring further study covered in this book; DNN architectures design with 5G network optimization, developing intelligent mechanism for automated management of virtual communications in SDNs, etc Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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THWARTING SYBIL ATTACK BY CAM METHOD IN WSN USING COOJA FRAMEWORK: Simulation Results congregated by using CAM method on sensors using COOJA Framework under CONTIKI OS
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204205412 ISBN 13: 9786204205410
Language: English
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Ethical Hacking & Cyber Security Tools: Introduction to the ethical hacking and working of various cyber security tools
Published by LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204982710 ISBN 13: 9786204982717
Language: English
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Frustrar el ataque de Sybil: el método CAM en WSN usando el marco COOJA
Published by Ediciones Nuestro Conocimiento, 2021
ISBN 10: 6204090593 ISBN 13: 9786204090597
Language: Spanish
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Contrecarrer l\ attaque Sybil par la méthode CAM dans WSN à l\ aide du framework COOJA
Published by Editions Notre Savoir, 2021
ISBN 10: 6204091220 ISBN 13: 9786204091228
Language: French
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Predotwraschenie ataki Sybil metodom CAM w VSN s ispol\ zowaniem frejmworka COOYa
Published by Sciencia Scripts, 2021
ISBN 10: 6204091247 ISBN 13: 9786204091242
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Impedindo o ataque da Sybil pelo método CAM no WSN usando uma estrutura de COOJA
Published by Edicoes Nosso Conhecimento, 2021
ISBN 10: 6204090356 ISBN 13: 9786204090351
Language: Portuguese
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Vereiteln des Sybil-Angriffs durch die CAM-Methode in WSN mit dem COOJA-Framework
Published by Verlag Unser Wissen Dez 2021, 2021
ISBN 10: 6204090380 ISBN 13: 9786204090382
Language: German
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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US$ 64.59
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Add to basketTaschenbuch. Condition: Neu. Neuware -Er stellt eine Ersparnis in den verschiedenen Protokollen zur Erfassung der Informationen von den Sensoren und deren Übertragung über das IoT dar. Der CAM-Algorithmus (Comparing and Matching) übertrifft die spezielle Version von RPL in Bezug auf Stromverbrauch, Wiederherstellung, Skalierbarkeit und Durchsatz. Der vorgeschlagene CAM-Ansatz schützt vor Sybil-Angriffen, indem er die Position der Sensoren oder Knoten mit ihrer Standort-ID verifiziert. Die Übereinstimmung mit der ID des Knotens wird während des Datenaustauschs im Netzwerk untersucht. Die Simulation des Netzwerks bewertet die Ende-zu-Ende-Verzögerung, die Zustellung der Pakete und den Durchsatz der Pakete unter den zahlreichen Positionen, um die Effektivität der Pakete mit COOJA unter einem Contiki OS zu berechnen. Es wird die Sicherheit beim Datenaustausch hervorgehoben und die Funktion zur Erkennung von Eindringlingen 'Sybil Attack' im IoT veranschaulicht.Books on Demand GmbH, Überseering 33, 22297 Hamburg 100 pp. Deutsch.
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Security Issues in Fog and Cloud Computing
Published by LAP Lambert Academic Publishing, 2022
ISBN 10: 6204750453 ISBN 13: 9786204750453
Language: English
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book represents cloud computing as an interesting database carrier that is far away from cumbersome physical connections and is mostly virtual. It can be accessed from anywhere and anytime, and also removes various intermediaries. It describes the rece.
