Titlebook: Handbook of Big Data Privacy; Kim-Kwang Raymond Choo,Ali Dehghantanha Book 2020 Springer Nature Switzerland AG 2020 cyber threat.cyber sec

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Enhancing Network Security Via Machine Learning: Opportunities and Challenges,uming. Hence, the use of tools and techniques provided to us through big data can assist in the analysis and storage of data in intrusion detection systems to help reduce both processing and training time. This document presents a review of the work related to network security via machine learning.

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Privacy Preserving Abnormality Detection: A Deep Learning Approach,convolutional neural networks are among the first choices for medical images analysis. This paper use one of the largest dataset of open-source musculoskeletal radiographs (MURA) for abnormality detection of thousands of musculoskeletal radiographs based on the deep learning to build models for detecting and localizing the abnormalities.

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https://doi.org/10.1007/978-3-662-09391-7 vulnerabilities to cyber threats with potentially severe impacts. As such, security is a crucial concern in critical infrastructure. This chapter discusses the security concerns surrounding today’s critical infrastructure as well as the use of artificial intelligence (AI) for mitigating and prevent

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Stefanie Losekam,Carsten Konradd data analysis exist in Industry 4.0 with few solutions to handle processing large amounts of data. The data needs to be processed, analyzed and secured to help improve the systems efficiency, safety and scalability. Hence, a new approach is needed to support industrial big data analytics. Industry

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Histopathology of Endometrial Cancerrt meters, smart supplies, renewable energy sources and efficient . sources. All these facilities and systems in smart grid, are integrated to provide a supervised and two-way commutation network for the grid. This new infrastructure of developing power distribution grid, utilizes a digital collecti