Machine learning for cybersecurity cookbook : over 80 recipes on how to implement machine learning algorithms for building security systems using python

Machine learning for cybersecurity cookbook over 80 recipes on how to implement machine learning algorithms for building security systems using python

"Learn how to apply modern AI to create powerful cybersecurity solutions for malware, pentesting, social engineering, data privacy, and intrusion detection Key Features Manage data of varying complexity to protect your system using the Python ecosystem Apply ML to pentesting, malware, data priv...

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Detalles Bibliográficos
Otros Autores: Tsukerman, Emmanuel, (author) (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham ; Mumbai : Packt Publishing, Limited 2019.
Edición:First edition
Materias:
Machine learning.
Computer algorithms.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631529606719
Tabla de Contenidos:
  • Chapter 1: Machine Learning for Cybersecurity
  • Chapter 2: Machine Learning-Based Malware Detection
  • Chapter 3: Advanced Malware Detection
  • Chapter 4: Machine Learning for Social Engineering
  • Chapter 5: Penetration Testing Using Machine Learning
  • Chapter 6: Automatic Intrusion Detection
  • Chapter 7: Securing and Attacking Data with Machine Learning
  • Chapter 8: Secure and Private AI.

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