Description

Book Synopsis
This book discusses artificial intelligence (AI) and cybersecurity from multiple points of view. The diverse chapters reveal modern trends and challenges related to the use of artificial intelligence when considering privacy, cyber-attacks and defense as well as applications from malware detection to radio signal intelligence.
The chapters are contributed by an international team of renown researchers and professionals in the field of AI and cybersecurity.
During the last few decades the rise of modern AI solutions that surpass humans in specific tasks has occurred. Moreover, these new technologies provide new methods of automating cybersecurity tasks. In addition to the privacy, ethics and cybersecurity concerns, the readers learn several new cutting edge applications of AI technologies.
Researchers working in AI and cybersecurity as well as advanced level students studying computer science and electrical engineering with a focus on AI and Cybersecurity will find this book useful as a reference. Professionals working within these related fields will also want to purchase this book as a reference.


Table of Contents
Part I Cybersecurity ConcernsUse of Artificial Intelligence in a Cybersecurity EnvironmentPetri Vähäkainu and Martti LehtoA Review of Cyber Threat (Artificial) Intelligence in SecurityManagementMartin Lundgren and Ali PadyabModel Based Resilience Engineering for Design and Assessment ofMission Critical Systems Containing AI ComponentsAutomation of CybersecurityWorkArtificial Intelligence for Cybersecurity Education and TrainingOffensive Machine Learning Methods and the Cyber Kill ChainDefensive Machine Learning Methods and the Cyber Defence Chain .
Part II Privacy and EthicsDifferential Privacy: An Umbrella ReviewAI in Cyber Operations: Ethical and Legal Considerations for End-Users
Part III ApplicationsAndroid Malware Detection Using Deep LearningArtificial Intelligence Enabled Radio Signal IntelligenceDeep Learning Quantile Regression for Robustness, Confidence andPlanningModel Fooling Threats Against Medical Imaging

Artificial Intelligence and Cybersecurity: Theory and Applications

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£125.99

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Order before 4pm today for delivery by Sat 20 Dec 2025.

A Paperback by Tuomo Sipola, Tero Kokkonen, Mika Karjalainen

1 in stock


    View other formats and editions of Artificial Intelligence and Cybersecurity: Theory and Applications by Tuomo Sipola

    Publisher: Springer International Publishing AG
    Publication Date: 08/12/2023
    ISBN13: 9783031150326, 978-3031150326
    ISBN10: 3031150325

    Description

    Book Synopsis
    This book discusses artificial intelligence (AI) and cybersecurity from multiple points of view. The diverse chapters reveal modern trends and challenges related to the use of artificial intelligence when considering privacy, cyber-attacks and defense as well as applications from malware detection to radio signal intelligence.
    The chapters are contributed by an international team of renown researchers and professionals in the field of AI and cybersecurity.
    During the last few decades the rise of modern AI solutions that surpass humans in specific tasks has occurred. Moreover, these new technologies provide new methods of automating cybersecurity tasks. In addition to the privacy, ethics and cybersecurity concerns, the readers learn several new cutting edge applications of AI technologies.
    Researchers working in AI and cybersecurity as well as advanced level students studying computer science and electrical engineering with a focus on AI and Cybersecurity will find this book useful as a reference. Professionals working within these related fields will also want to purchase this book as a reference.


    Table of Contents
    Part I Cybersecurity ConcernsUse of Artificial Intelligence in a Cybersecurity EnvironmentPetri Vähäkainu and Martti LehtoA Review of Cyber Threat (Artificial) Intelligence in SecurityManagementMartin Lundgren and Ali PadyabModel Based Resilience Engineering for Design and Assessment ofMission Critical Systems Containing AI ComponentsAutomation of CybersecurityWorkArtificial Intelligence for Cybersecurity Education and TrainingOffensive Machine Learning Methods and the Cyber Kill ChainDefensive Machine Learning Methods and the Cyber Defence Chain .
    Part II Privacy and EthicsDifferential Privacy: An Umbrella ReviewAI in Cyber Operations: Ethical and Legal Considerations for End-Users
    Part III ApplicationsAndroid Malware Detection Using Deep LearningArtificial Intelligence Enabled Radio Signal IntelligenceDeep Learning Quantile Regression for Robustness, Confidence andPlanningModel Fooling Threats Against Medical Imaging

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