计算智能在网络安全中的应用
The book provides a comprehensive overview of cyber security in Industry 5.0, data security in emerging technologies, block chain technology, cloud computing security, evolving IoT and OT threats, and considerable data integrity in healthcare. The impact of security risks on various sectors is explored including artificial intelligence in national security, quantum com-puting for security, and AI-driven cyber security techniques. It explores how cyber security is applied across different areas of human life through computational modeling. The book concludes by presenting a roadmap for securing computing environments, addressing the complex interplay between advanced technologies and emerging security challenges, and offering insights into future trends and innovations for sustainable development.
This book
• Analyzes the use of AI, support vector machines, and deep learning for dataclassification, vulnerability prediction, and defense. • Provides insights into data protection for Industry 4.0/5.0, cloud computing, and IoT/OT, focusing on risk mitigation. • Explores block chain’s role in smart nations, financial risk management, and the potential of quantum computing for security. • Examines AI’s applications in national security, including India’s AI strategy and securing smart cities. • Evaluate strategies for data integrity in healthcare, secure IoT platforms, and supply chain cyber security.
The text is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.
这本书提供了工业4.0中的网络安全、新兴技术中的数据安全、区块链技术、云计算安全、不断演变的物联网和OT威胁以及医疗保健领域的大量数据完整性等方面的全面概述。本书探讨了不同行业面临的安全风险的影响,包括人工智能在国家安全中的作用、量子计算的安全性以及基于人工智能的网络安全技术的发展。 本书 • 分析了人工智能、支持向量机和深度学习在数据分类、漏洞预测及防御方面的应用。 • 提供了针对工业4.0/5.0、云计算、物联网/OT领域数据保护的方法,重点在于风险缓解。 • 探索区块链在智能国家中的作用、金融风险管理以及量子计算在安全方面的潜力。 • 评估了医疗保健领域的数据完整性策略、安全的物联网平台和供应链网络安全措施。 本书的主要读者对象是电气工程、电子与通信工程、计算机工程和信息技术领域的高级本科生、研究生及学术研究人员。
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