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Next-generation cybersecurity = AI, ML, and blockchain /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Next-generation cybersecurity/ edited by Keshav Kaushik, Ishu Sharma.
其他題名:	AI, ML, and blockchain /
其他作者:	Kaushik, Keshav.
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xii, 470 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction to Cybersecurity with AI, ML, and Blockchain -- Opportunities and Challenges in New Generation Cyber Security Applications using Artificial Intelligence, Machine Learning and Block Chain -- AI and Blockchain for Secure Data Analytics -- Synergizing Artificial Intelligence and Blockchain -- Blockchain-Based Smart Contracts: Technical and Usage Aspects -- An Impact of Cyber Security and Blockchain in Healthcare Industry: an implementation through AI -- Deep Learning and Blockchain Applications in Healthcare Sector using Imaging Data -- Healthcare Data Security using AI and Blockchain: Safeguarding Sensitive Information for a Safer Society -- The Future of Electronic Healthcare Management: Blockchain and Artificial Intelligence Integration -- Impact of Neural Network on Malware Detection -- Evaluating different malware detection neural network architectures -- Protecting Your Assets: Effective Use of Cybersecurity Measures in Banking Industries -- Revolutionizing Banking with Blockchain:Opportunities and Challenges Ahead -- Leveraging AI and Blockchain for Enhanced IoT Cybersecurity -- Dissecting the Role of Women in Cybersecurity and Information Technology: A Medical Perspective -- A Comprehensive Exploration of Advancements and Applications of Digital Watermarking -- Optimizing Drug Discovery: Molecular Docking with Glow-worm Swarm Optimization -- Bridging the Gap Between Learning and Security: An Investigation of Blended Learning Systems and Ransomware Detection -- Ethical Considerations in AI-based Cybersecurity.
Contained By:	Springer Nature eBook
標題:	Computer security. -
電子資源:	https://doi.org/10.1007/978-981-97-1249-6
ISBN:	9789819712496

Next-generation cybersecurity = AI, ML, and blockchain /
Next-generation cybersecurityAI, ML, and blockchain /[electronic resource] :edited by Keshav Kaushik, Ishu Sharma. - Singapore :Springer Nature Singapore :2024. - xii, 470 p. :ill. (some col.), digital ;24 cm. - Blockchain technologies,2661-8346. - Blockchain technologies..

Introduction to Cybersecurity with AI, ML, and Blockchain -- Opportunities and Challenges in New Generation Cyber Security Applications using Artificial Intelligence, Machine Learning and Block Chain -- AI and Blockchain for Secure Data Analytics -- Synergizing Artificial Intelligence and Blockchain -- Blockchain-Based Smart Contracts: Technical and Usage Aspects -- An Impact of Cyber Security and Blockchain in Healthcare Industry: an implementation through AI -- Deep Learning and Blockchain Applications in Healthcare Sector using Imaging Data -- Healthcare Data Security using AI and Blockchain: Safeguarding Sensitive Information for a Safer Society -- The Future of Electronic Healthcare Management: Blockchain and Artificial Intelligence Integration -- Impact of Neural Network on Malware Detection -- Evaluating different malware detection neural network architectures -- Protecting Your Assets: Effective Use of Cybersecurity Measures in Banking Industries -- Revolutionizing Banking with Blockchain:Opportunities and Challenges Ahead -- Leveraging AI and Blockchain for Enhanced IoT Cybersecurity -- Dissecting the Role of Women in Cybersecurity and Information Technology: A Medical Perspective -- A Comprehensive Exploration of Advancements and Applications of Digital Watermarking -- Optimizing Drug Discovery: Molecular Docking with Glow-worm Swarm Optimization -- Bridging the Gap Between Learning and Security: An Investigation of Blended Learning Systems and Ransomware Detection -- Ethical Considerations in AI-based Cybersecurity.

This book highlights a comprehensive overview of the recent advancements and challenges in the field of cybersecurity with a focus on the integration of artificial intelligence (AI), machine learning (ML), and blockchain technologies. The book targets both researchers and practitioners working in the field of cybersecurity and aims to fill the gap in the current literature by providing a comprehensive and up-to-date examination of the integration of AI, ML, and blockchain in cybersecurity systems. The book has a technical focus and provides an in-depth examination of the latest developments in the field. It covers a range of topics including the basics of AI, ML, and blockchain, the application of AI and ML in cybersecurity, the use of blockchain in cybersecurity, and the integration of AI, ML, and blockchain in cybersecurity systems. Each chapter is written by leading experts in the field and provides a thorough and technical overview of the topic, including case studies, examples, and practical applications.

ISBN: 9789819712496

Standard No.: 10.1007/978-981-97-1249-6doiSubjects--Topical Terms:

540555
Computer security.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Next-generation cybersecurity = AI, ML, and blockchain /
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505 0 $a Introduction to Cybersecurity with AI, ML, and Blockchain -- Opportunities and Challenges in New Generation Cyber Security Applications using Artificial Intelligence, Machine Learning and Block Chain -- AI and Blockchain for Secure Data Analytics -- Synergizing Artificial Intelligence and Blockchain -- Blockchain-Based Smart Contracts: Technical and Usage Aspects -- An Impact of Cyber Security and Blockchain in Healthcare Industry: an implementation through AI -- Deep Learning and Blockchain Applications in Healthcare Sector using Imaging Data -- Healthcare Data Security using AI and Blockchain: Safeguarding Sensitive Information for a Safer Society -- The Future of Electronic Healthcare Management: Blockchain and Artificial Intelligence Integration -- Impact of Neural Network on Malware Detection -- Evaluating different malware detection neural network architectures -- Protecting Your Assets: Effective Use of Cybersecurity Measures in Banking Industries -- Revolutionizing Banking with Blockchain:Opportunities and Challenges Ahead -- Leveraging AI and Blockchain for Enhanced IoT Cybersecurity -- Dissecting the Role of Women in Cybersecurity and Information Technology: A Medical Perspective -- A Comprehensive Exploration of Advancements and Applications of Digital Watermarking -- Optimizing Drug Discovery: Molecular Docking with Glow-worm Swarm Optimization -- Bridging the Gap Between Learning and Security: An Investigation of Blended Learning Systems and Ransomware Detection -- Ethical Considerations in AI-based Cybersecurity.
520 $a This book highlights a comprehensive overview of the recent advancements and challenges in the field of cybersecurity with a focus on the integration of artificial intelligence (AI), machine learning (ML), and blockchain technologies. The book targets both researchers and practitioners working in the field of cybersecurity and aims to fill the gap in the current literature by providing a comprehensive and up-to-date examination of the integration of AI, ML, and blockchain in cybersecurity systems. The book has a technical focus and provides an in-depth examination of the latest developments in the field. It covers a range of topics including the basics of AI, ML, and blockchain, the application of AI and ML in cybersecurity, the use of blockchain in cybersecurity, and the integration of AI, ML, and blockchain in cybersecurity systems. Each chapter is written by leading experts in the field and provides a thorough and technical overview of the topic, including case studies, examples, and practical applications.
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