Modern Approaches in Iot and Machine Learning for Cyber Security: Latest Trends in AI (Paperback)

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?data science?for security challenges.- Big?data?analytics for?cybersecurity.- Data?Analytics and Decision Support for?Cybersecurity.- Data Science?in?Cybersecurity?and Cyberthreat Intelligence.- Integrating?cyber security?and?data science?for social media.- Data?warehousing and?data?mining techniques for?cyber security.- Machine learning and deep learning methods for?cybersecurity.- Machine Learning and Big?Data?Processing for?Cybersecurity Data?Analysis.- Blockchain's roles in strengthening?cybersecurity?and protecting privacy.- Using virtual environments for the assessment of?cybersecurity?issues in?IoT?scenarios.- Security?considerations for secure and trustworthy smart home system in the?IoT?environment.- Cyber security?challenges for?IoT-based smart grid networks.- Evaluating critical?security?issues of the?IoT?world.- Internet of Things?security?and forensics.- Applying Artificial Intelligence Techniques to Prevent?Cyber?Assaults.- Cyber security?and the role of intelligent systems in addressing its challenges.- Cyber security?of water SCADA systems.- Bio-inspiring?cyber security?and cloud services.- AI?enabled blockchain smart contracts.- Cyber security?and the evolution in intrusion detection systems.- A?cyber security?study of a SCADA energy management system.- Security?analysis and recommendations for?AI/ML enabled automated?cyber?medical systems.- Making knowledge tradable in edge-AI?enabled IoT.- Artificial intelligence and national?security.- Conclusion.