Utilizing Generative AI for Cyber Defense Strategies

Utilizing Generative AI for Cyber Defense Strategies

Release Date: September, 2024|Copyright: © 2025 |Pages: 546
DOI: 10.4018/979-8-3693-8944-7
ISBN13: 9798369389447|ISBN13 Softcover: 9798369389454|EISBN13: 9798369389461
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Description & Coverage
Description:

As cyber threats become increasingly sophisticated, the need for innovative defense strategies becomes urgent. Generative artificial intelligence (AI) offers a revolutionary approach to enhance cybersecurity. By utilizing advanced algorithms, data analysis, and machine learning, generative AI can simulate complex attack scenarios, identify vulnerabilities, and develop proactive defense mechanisms while adapting to modern-day cyber-attacks. AI strengthens current organizational security while offering quick, effective responses to emerging threats. Decisive strategies are needed to integrate generative AI into businesses defense strategies and protect organizations from attacks, secure digital data, and ensure safe business processes.

Utilizing Generative AI for Cyber Defense Strategies explores the utilization of generative AI tools in organizational cyber security and defense. Strategies for effective threat detection and mitigation are presented, with an emphasis on deep learning, artificial intelligence, and Internet of Things (IoT) technology. This book covers topics such as cyber security, threat intelligence, and behavior analysis, and is a useful resource for computer engineers, security professionals, business owners, government officials, data analysts, academicians, scientists, and researchers.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Anomaly Detection
  • Authentication Technologies
  • Behavior Analysis
  • Cyber Security
  • Data Analytics
  • Deep Learning
  • Defense Strategies
  • Federated Learning
  • Generative AI
  • Information Sharing
  • Internet of Things (IoT)
  • Malware
  • Risk Assessment and Mitigation
  • Threat Intelligence
  • Variational Autoencoders (VAEs)
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Editor/Author Biographies
Noor Zaman Jhanjhi (N.Z Jhanjhi) is currently working as a Professor in Computer Science (Cybersecurity and AI), Program Director for the Postgraduate Research Degree Programmes in computer science, Director of the Center for Smart Society (CSS5) at the School of Computer Science at Taylor’s University, Malaysia. He has been nominated as the world’s top 2% research scientist globally; he is among the top five computer science researchers in Malaysia and was nominated as an Outstanding Faculty Member by the MDEC Malaysia for the year 2022. He has highly indexed publications in WoS/ISI/SCI/Scopus, and his collective research Impact factor is more than 900 plus points. His Google Scholar H index is 60, and I-10 Index is close to 275, and his Scopus H index is 39, with more than 600 publications on his credit. He has several international patents on his account, including Australian, German, and Japanese patents. He edited/authored over 50 research books published by world-class publishers, including Springer, IGI Global USA, Taylors and Frances, Willeys, Intech Open, etc. He has excellent experience supervising and co-supervising postgraduate students, and more than 37 Postgraduate scholars graduated under his supervision. Prof. Jhanjhi serves as Associate Editor and Editorial Assistant Board for several reputable journals, such as PeerJ Computer Science, CMC Computers, Materials & Continua, Computer Systems Science and Engineering CSSE, Frontier in Communication and Networks, etc. He received the Outstanding Associate Editor award for IEEE ACCESS. Active reviewer for a series of top-tier journals has been awarded globally as a top 1% reviewer by Publons (Web of Science). He is an external Ph.D./Master thesis examiner/evaluator for several universities globally and has evaluated 60 plus theses. He has completed more than 40 internationally funded research grants successfully. He has been a keynote/invited speaker for over 60 international conferences and has chaired international conference sessions. He has vast experience in academic qualifications, including ABET, NCAAA, and NCEAC, for 10 years. His research areas include Cybersecurity, IoT security, Wireless security, Data Science, Software Engineering, and UAVs. .
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