Produktnummer:
182a362d1384b5464f8227dfbffed71586
| Themengebiete: | Artificial Intelligence Cyber Crime Cyber Crime Evidence Cyber Infrastructure Cyber security Human Computer Interaction Internet of Things Machine Learning Neural Networks |
|---|---|
| Veröffentlichungsdatum: | 08.12.2023 |
| EAN: | 9783031099540 |
| Sprache: | Englisch |
| Seitenzahl: | 417 |
| Produktart: | Gebunden |
| Herausgeber: | Ansari, Mohd Dilshad Gunjan, Vinit Kumar Nguyen, ThiDieuLinh Usman, Mohammed |
| Verlag: | Springer International Publishing |
| Untertitel: | Latest Trends in AI |
Produktinformationen "Modern Approaches in IoT and Machine Learning for Cyber Security"
This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book’s chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.
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