Demystifying AI and ML for Cyber-Threat Intelligence, Gebunden
Demystifying AI and ML for Cyber-Threat Intelligence
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Ming Yang, Sachi Nandan Mohanty, Suneeta Satpathy, Shu Hu
- Verlag:
- Springer, 08/2025
- Einband:
- Gebunden
- Sprache:
- Englisch
- ISBN-13:
- 9783031907227
- Artikelnummer:
- 12452294
- Umfang:
- 640 Seiten
- Gewicht:
- 1113 g
- Maße:
- 241 x 160 mm
- Stärke:
- 40 mm
- Erscheinungstermin:
- 17.8.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
This book simplifies complex AI and ML concepts, making them accessible to security analysts, IT professionals, researchers, and decision-makers. Cyber threats have become increasingly sophisticated in the ever-evolving digital landscape, making traditional security measures insufficient to combat modern attacks. Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in cybersecurity, enabling organizations to detect, prevent, and respond to threats with greater efficiency. This book is a comprehensive guide, bridging the gap between cybersecurity and AI/ML by offering clear, practical insights into their role in threat intelligence. Readers will gain a solid foundation in key AI and ML principles, including supervised and unsupervised learning, deep learning, and natural language processing (NLP) while exploring real-world applications such as intrusion detection, malware analysis, and fraud prevention. Through hands-on insights, case studies, and implementation strategies, it provides actionable knowledge for integrating AI-driven threat intelligence into security operations. Additionally, it examines emerging trends, ethical considerations, and the evolving role of AI in cybersecurity. Unlike overly technical manuals, this book balances theoretical concepts with practical applications, breaking down complex algorithms into actionable insights. Whether a seasoned professional or a beginner, readers will find this book an essential roadmap to navigating the future of cybersecurity in an AI-driven world. This book empowers its audience to stay ahead of cyber adversaries and embrace the next generation of intelligent threat detection.
Biografie (Ming Yang)
Dr. Ming Yang is Senior Environmental Economist at an international organization based in Washington, D.C. Prior to joining the organization, he worked for four years as Energy and Environment Economist and Energy Technology Economist for the International Energy Agency of the OECD in Paris. Before that, he was Energy Adviser and Climate Change Specialist for two years at the Asian Development Bank. Dr Yang is good at quantitative analysis in issues related to economics, engineering, technology and climate change. In 1986, he undertook a feasibility study with MARKAL model on China s Three Gorges Power Plant. In 1994, he simulated negotiation process by using EFOM model. In 2007, with the IEA's ETP model (the new version of MARKAL) he designed two scenarios for IEA s Energy Technology Perspectives 2008. Over the past two decades, he has about 100 articles published in journals and conference proceedings. He significantly contributed to quantitative analysis and writing of four books on energy and climate change that were published in the Asian Development Bank and the International Energy Agency. Ming holds a Ph.D. in energy economics and planning from the Asian Institute of Technology in Bangkok jointly with l'Institut d'Economie et de Politique de l'Energie (IEPE), Université des Sciences Sociales, Grenoble, France.