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Modern Approaches in IoT and Machine Learning for Cyber Security

Latest Trends in AI

Gebonden Engels 2023 9783031099540
€ 180,99
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This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book’s chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.

Specificaties

ISBN13:9783031099540
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer International Publishing

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Inhoudsopgave

Introduction.- Being secure, vigilant and resilient in the age of Industry 4.0.- Facing new cyber risks in the age of smart production.- Leveraging AI for threat detection.- Being resilient when attacks inevitably hit home.- Security for the Industrial Internet of Things.- Reinventing the Internet to Secure the Digital Economy.- The future of cybersecurity.- Adapting&nbsp;data science&nbsp;for security challenges.- Big&nbsp;data&nbsp;analytics for&nbsp;cybersecurity.- Data&nbsp;Analytics and Decision Support for&nbsp;Cybersecurity.- Data Science&nbsp;in&nbsp;Cybersecurity&nbsp;and Cyberthreat Intelligence.- Integrating&nbsp;cyber security&nbsp;and&nbsp;data science&nbsp;for social media.- Data&nbsp;warehousing and&nbsp;data&nbsp;mining techniques for&nbsp;cyber security.- Machine learning and deep learning methods for&nbsp;cybersecurity.- Machine Learning and Big&nbsp;Data&nbsp;Processing for&nbsp;Cybersecurity Data&nbsp;Analysis.- Blockchain's roles in strengthening&nbsp;cybersecurity&nbsp;and protecting privacy.- Using virtual environments for the assessment of&nbsp;cybersecurity&nbsp;issues in&nbsp;IoT&nbsp;scenarios.- Security&nbsp;considerations for secure and trustworthy smart home system in the&nbsp;IoT&nbsp;environment.- Cyber security&nbsp;challenges for&nbsp;IoT-based smart grid networks.- Evaluating critical&nbsp;security&nbsp;issues of the&nbsp;IoT&nbsp;world.- Internet of Things&nbsp;security&nbsp;and forensics.- Applying Artificial Intelligence Techniques to Prevent&nbsp;Cyber&nbsp;Assaults.- Cyber security&nbsp;and the role of intelligent systems in addressing its challenges.- Cyber security&nbsp;of water SCADA systems.- Bio-inspiring&nbsp;cyber security&nbsp;and cloud services.- AI&nbsp;enabled blockchain smart contracts.- Cyber security&nbsp;and the evolution in intrusion detection systems.- A&nbsp;cyber security&nbsp;study of a SCADA energy management system.- Security&nbsp;analysis and recommendations for&nbsp;AI/ML enabled automated&nbsp;cyber&nbsp;medical systems.- Making knowledge tradable in edge-AI&nbsp;enabled IoT.- Artificial intelligence and national&nbsp;security.- Conclusion.<p></p>

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€ 180,99
Levertijd ongeveer 9 werkdagen
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          Modern Approaches in IoT and Machine Learning for Cyber Security