Hands-On Machine Learning for Cybersecurity: Safeguard your system by making your machines intelligent using the Python ecosystem
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- Kustantaja
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- inglise
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Teadmiskirjandus
Get into the world of smart data security using machine learning algorithms and Python libraries
Key Features
• Learn machine learning algorithms and cybersecurity fundamentals
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• Automate your daily workflow by applying use cases to many facets of security
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• Implement smart machine learning solutions to detect various cybersecurity problems
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Book Description
Cyber threats today are one of the costliest losses that an organization can face. In this book, we use the most efficient tool to solve the big problems that exist in the cybersecurity domain.
The book begins by giving you the basics of ML in cybersecurity using Python and its libraries. You will explore various ML domains (such as time series analysis and ensemble modeling) to get your foundations right. You will implement various examples such as building system to identify malicious URLs, and building a program to detect fraudulent emails and spam. Later, you will learn how to make effective use of K-means algorithm to develop a solution to detect and alert you to any malicious activity in the network. Also learn how to implement biometrics and fingerprint to validate whether the user is a legitimate user or not.
Finally, you will see how we change the game with TensorFlow and learn how deep learning is effective for creating models and training systems
What you will learn
• Use machine learning algorithms with complex datasets to implement cybersecurity concepts
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• Implement machine learning algorithms such as clustering, k-means, and Naive Bayes to solve real-world problems
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• Learn to speed up a system using Python libraries with NumPy, Scikit-learn, and CUDA
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• Understand how to combat malware, detect spam, and fight financial fraud to mitigate cyber crimes
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• Use TensorFlow in the cybersecurity domain and implement real-world examples
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• Learn how machine learning and Python can be used in complex cyber issues
Who this book is for
This book is for the data scientists, machine learning developers, security researchers, and anyone keen to apply machine learning to up-skill computer security. Having some working knowledge of Python and being familiar with the basics of machine learning and cybersecurity fundamentals will help to get the most out of the book
© 2018 Packt Publishing (E-raamat): 9781788990967
Väljaandmise kuupäev
E-raamat: 31. detsember 2018
- Allüürnik Freida McFadden
- Kui meri rahuneb Jørn Lier Horst
- Külm nagu kivi Alex Smith
- Variatsioon Rebecca Yarros
- Kalendritüdruk Sebastian Fitzek
- Mees. Otse ja ausalt Jesper Parve
- Uskumuste meelevallas Donna Leon
- Raamatukogu viimased päevad Heli Künnapas
- Safranisügis Maija Kajanto
- Vales seltskonnas Viveca Sten
- Ilmalinnu laul Berit Sootak
- Vanad patud Marianne Cedervall
- Suluseis Helen Eelrand
- Surmanimekiri Anna Jansson
- Rõngu roimad I Joel Jans
- Allüürnik Freida McFadden
- Ära kasutatud, vägistatud ja müüdud Jessika Devert, Paulina Bengtsson
- Külm nagu kivi Alex Smith
- Marta Leelo Kassikäpp
- Karulõks Berit Sootak
- Mees. Otse ja ausalt Jesper Parve
- Safranisügis Maija Kajanto
- Kaneelisaiakese raamatupood Laurie Gilmore
- Petlik tõde Colleen Hoover
- Fifty-Fifty Steve Cavanagh
- Tööpäev Tõnu Õnnepalu
- Kui meri rahuneb Jørn Lier Horst
- Surmanimekiri Anna Jansson
- Lapsemäng Angela Marsons
- Mina, Silvia Silvia Ilves, Maarja Savi
- Ära kasutatud, vägistatud ja müüdud Jessika Devert, Paulina Bengtsson
- Kaneelisaiakese raamatupood Laurie Gilmore
- Petlik tõde Colleen Hoover
- Fifty-Fifty Steve Cavanagh
- Safranisügis Maija Kajanto
- Kaneelirullisuvi Maija Kajanto
- Villa Alba saladus Louise Douglas
- Ämblik Lars Kepler
- Võõras Veri M. W. Craven
- Sohilaps Camilla Läckberg
- See ainus ja õige Jørn Lier Horst
- Kõik algab meist Colleen Hoover
- Kadunud õde Lucinda Riley
- Uneskõndija Lars Kepler
- Cougar. 3. osa Helene Moss
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