Artificial Intelligence and Cybersecurity
Theory and Applications
Gebonden Engels 2022 1e druk 9783031150296Samenvatting
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.
Specificaties
Lezersrecensies
Inhoudsopgave
Use of Artificial Intelligence in a Cybersecurity Environment
Petri Vähäkainu and Martti Lehto
A Review of Cyber Threat (Artificial) Intelligence in Security Management
Martin Lundgren and Ali Padyab
Model Based Resilience Engineering for Design and Assessment of Mission Critical Systems Containing AI Components
Automation of Cybersecurity
Work
Artificial Intelligence for Cybersecurity Education and Training
Offensive Machine Learning Methods and the Cyber Kill Chain
Defensive Machine Learning Methods and the Cyber Defence Chain .
Part II Privacy and Ethics
Differential Privacy: An Umbrella Review
AI in Cyber Operations: Ethical and Legal Considerations for End-Users
Part III Applications
Android Malware Detection Using Deep Learning
Artificial Intelligence Enabled Radio Signal Intelligence
Deep Learning Quantile Regression for Robustness, Confidence
PlanningModel Fooling Threats Against Medical Imaging
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