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OverviewThis book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart machine learning solutions to detect various cybersecurity problems and make the users to understand in combating malware, detect spam, and fight financial fraud to mitigate cybercrimes. With an effective analysis of cyber-physical data, it consists of the solution for many real-life problems such as anomaly detection, IoT-based framework for security and control, manufacturing control system, fault detection, smart cities, risk assessment of cyber-physical systems, medical diagnosis, smart grid systems, biometric-based physical and cybersecurity systems using advance machine learning approach. Filling an important gap between machine learning and cybersecurity communities, it discusses topics covering a wide range of modern and practical advance machine learning techniques, frameworks, and development tools to enable readers to engage with the cutting-edge research across various aspects of cybersecurity. Full Product DetailsAuthor: Janmenjoy Nayak , Bighnaraj Naik , Vimal S , Margarita FavorskayaPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2024 Volume: 60 ISBN: 9783031540370ISBN 10: 3031540379 Pages: 406 Publication Date: 12 April 2024 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Not yet available  This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsSMOTE Integrated Adaptive Boosting Framework for Network Intrusion Detection.- An In-depth Analysis of Cyber-Physical Systems: Deep Machine Intelligence based Security Mitigations.- Unsupervised approaches in anomaly detection.- Profiling and Classification of IoT Devices for Smart Home Environments.- Application of Machine Learning to Improve Safety in the Wind Industry.- Malware Attack Detection in Vehicle Cyber Physical System for Planning and Control using Deep Learning.- Unraveling what is at stake in the intelligence of autonomous cars.- Intelligent Under-Sampling based Ensemble Techniques for Cyber-Physical Systems in Smart Cities.- Application of Deep Learning in Medical Cyber-Physical Systems.- Risk Assessment and Security of Industrial Internet of Things Network using Advance Machine Learning.- Machine Learning Based Intelligent Diagnosis of Brain Tumor: Advances and Challenges.- Cyber-Physical Security in Smart Grids: A Holistic View with Machine Learning Integration.- Intelligent Biometric Authentication-based Intrusion Detection in Medical Cyber Physical System using Deep Learning.- Current datasets and their inherent challenges for Automatic Vehicle Classification.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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