Machine Learning Techniques for Cybersecurity
Introduction.- Background on Machine Learning Techniques.- Security Policy earning.- Software Security Analysis.- Hardware Security Analysis.- Detection.- Attack Management.- Case Studies.- Main Challenges in the Use of ML for Security.- Concluding Remarks.
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Product information "Machine Learning Techniques for Cybersecurity"
Introduction.- Background on Machine Learning Techniques.- Security Policy earning.- Software Security Analysis.- Hardware Security Analysis.- Detection.- Attack Management.- Case Studies.- Main Challenges in the Use of ML for Security.- Concluding Remarks.
H | W | D | g
240 mm | 168 mm | 11 mm | 0.313 kg
Publication year
2024
Age rating
0
Edition
Taschenbuch
Publisher
Springer
ISBN-10
3031282612
Author
Ashraf Y. Mahgoub; Lee, Hyunwoo; Karim, Imtiaz; Cicala, Fabrizio; Bertino, Elisa; Katsis, Charalampos; Bhardwaj, Sonam; Gong, Sishuai; Li, Adrian Shuai
Language
Englisch
Page Count
180
Topics
Maschinelles Lernen, Netzwerksicherheit, Computer- und Internetkriminalität, Computersicherheit, Maschinelles Lernen, Software Engineering
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according to Art. 16 GPSR
Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115, Heidelberg, DE, ProductSafety@springernature.com
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