Titlebook: Design Frameworks for Wireless Networks; Santosh Kumar Das,Sourav Samanta,Rajesh Kumar Book 2020 Springer Nature Singapore Pte Ltd. 2020 A

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2367-3370 ents, researchers, academics and industry professionalsThis book provides an overview of the current state of the art in wireless networks around the globe, focusing on utilizing the latest artificial intelligence and soft computing techniques to provide design frameworks for wireless networks. Thes

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R. Caterina,S. D. Kristensen,E. B. Schmidty Control and Data Acquisition (SCADA) network. Here, the power system attack dataset is used to detect the attacks in an SCADA network. In the preprocessing stage, the given data is preprocessed to segregate the relays as R1, R2, R3n and R4. Each relay contains the date, timestamp, control panel lo

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n-3 Fatty Acids and Fibrinolysisriate preventive measure. Hence, an Intrusion Detection System (IDS) plays an important role to prevent such cyberattacks in IoT. These devices can be static or mobile in an IoT environment; this must be considered while designing IDS for IoT system. This book chapter presents various IDSs for an Io

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https://doi.org/10.1007/978-1-4471-3890-7ing techniques are given for intrusion detection and prevention system. The performance evaluation of these techniques is done by experiments conducted on WSN-DS dataset. The comparative analysis shows that deep learning classifiers shows better intrusion detection results than machine learning tech

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Ecosystem Model in Data-Poor Situationse malfunctioning of certain nodes which in turn can create considerable topological changes and can affect the accuracy of these sensor nodes. Similarly, congestion control is another significant challenge in WSNs, which can lead to a major impact on the QoS parameters. Interference among the coexis

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Bioinformatics and Computational Toolsses and requirements of ambient-based healthcare systems. Finally, an illustration case describes how the ambient care works in a hospital environment, and it also elaborates a few contexts, events, and rules using Unified Modeling Language (UML) class diagram.

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https://doi.org/10.1007/978-981-97-2562-5e WSN. This chapter aims to study and analyze the various evolutionary approaches like genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO), etc. which are applied to solve the coverage and connectivity problems for WSN. The existing approaches are described with