Titlebook: Emerging Smart Technologies for Critical Infrastructure; Shantanu Pal,Zahra Jadidi,Subhas C. Mukhopadhyay Book 2023 The Editor(s) (if appl

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Client Selection Frameworks Within Federated Machine Learning: The Current Paradigm, by traditional machine learning algorithms. However, these have drawbacks such as computation cost and privacy issues. Federated machine learning (FML) seeks to remedy the downfalls of traditional machine learning. Client selection is one way in which to further improve FML, as which clients that a

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Explainable Anomaly Detection in IoT Networks,arning methods have been widely used to analyse network data and detect intrusions automatically. However, these automated intrusion detection systems (IDSs) are black boxes, and there is no explanation for their decision. Therefore, explainable machine learning techniques can be used to explain the

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,Application of Machine Learning on Material Science and Problem Solving Under Security—A Review,mental scientists. Also, discovering new materials to address some of crucial global challenges such as health and medicine, food and water security, climate, etc. raises other important issues for material scientists in terms of cost and time consuming. In this regard, combining data science and ma

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Introduction to Blockchain Technology with Bitcoin Protocol,strial applications. The capability of revolutionising digital transactions brought significant interest in this technology and evolved greatly in the past decade. However, the development of applications beyond cryptocurrency has not yet kept pace. In this chapter, we will examine the basic design

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