Titlebook: Next-Generation Cybersecurity; AI, ML, and Blockcha Keshav Kaushik,Ishu Sharma Book 2024 The Editor(s) (if applicable) and The Author(s), u

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AI and Blockchain for Secure Data Analytics,he danger of security breaches. In order to demonstrate how the privacy of information can be protected while utilizing intelligence that is distributed, the idea of federated learning, where artificial intelligence models undergo training on decentralized data sources, is investigated in regards to

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Synergizing Artificial Intelligence and Blockchain,ems, while highlighting the role of Blockchain in guaranteeing the trustworthiness and consistency of AI applications. The integration of these methods has the potential to develop advanced, protected, and streamlined systems, hence enabling the emergence of inventive solutions in data administratio

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Future of Electronic Healthcare Management: Blockchain and Artificial Intelligence Integration,rvice efficiency, lower costs, and democratized healthcare by giving healthcare professionals access to the blockchain to display patient medical records and using AI’s proposed algorithms and decision-making capabilities, along with vast amounts of data. Additionally, blockchain makes storing the e

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Evaluating Different Malware Detection Neural Network Architectures,ng give better results in the identification of malware data. This chapter presents a survey on the performance of various deep learning-based neural networks for malware detection and classification. It is also noted that these models require a lot of computational time during training. Transfer le

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