Machine Learning for Cybersecurity Cookbook by Tsukerman, Emmanuel -- Read -- Imperial Library of Trantor

Index

Title Page Copyright and Credits

Machine Learning for Cybersecurity Cookbook

About Packt

Why subscribe?

Contributors

About the author About the reviewers Packt is searching for authors like you

Preface

Who this book is for What this book covers To get the most out of this book

Download the example code files Download the color images Conventions used

Sections

Getting ready How to do it… How it works… There's more… See also

Get in touch

Reviews

Machine Learning for Cybersecurity

Technical requirements Train-test-splitting your data

Getting ready How to do it... How it works...

Standardizing your data

Getting ready How to do it... How it works...

Summarizing large data using principal component analysis

Getting ready How to do it... How it works...

Generating text using Markov chains

Getting ready How to do it... How it works...

Performing clustering using scikit-learn

Getting ready How to do it... How it works...

Training an XGBoost classifier

Getting ready How to do it... How it works...

Analyzing time series using statsmodels

Getting ready How to do it... How it works...

Anomaly detection with Isolation Forest

Getting ready How to do it... How it works...

Natural language processing using a hashing vectorizer and tf-idf with scikit-learn

Getting ready How to do it… How it works...

Hyperparameter tuning with scikit-optimize

Getting ready How to do it... How it works...

Machine Learning-Based Malware Detection

Technical requirements Malware static analysis

Computing the hash of a sample

Getting ready How to do it... How it works...

YARA

Getting ready How to do it… How it works…

Examining the PE header

Getting ready How to do it... How it works...

Featurizing the PE header

Getting ready How to do it... How it works...

Malware dynamic analysis

Getting ready How to do it... How it works...

Using machine learning to detect the file type

Scraping GitHub for files of a specific type

Getting ready How to do it... How it works...

Classifying files by type

Getting ready How to do it... How it works...

Measuring the similarity between two strings

Getting ready How to do it... How it works...

Measuring the similarity between two files

Getting ready How to do it... How it works...

Extracting N-grams

Getting ready How to do it... How it works...

Selecting the best N-grams

Getting ready How to do it... How it works…

Building a static malware detector

Getting ready How to do it... How it works…

Tackling class imbalance

Getting ready How to do it... How it works…

Handling type I and type II errors

Getting ready How to do it... How it works…

Advanced Malware Detection

Technical requirements Detecting obfuscated JavaScript

Getting ready How to do it... How it works…

Featurizing PDF files

Getting ready How to do it... How it works…

Extracting N-grams quickly using the hash-gram algorithm

Getting ready How to do it... How it works… See also

Building a dynamic malware classifier

Getting ready How to do it... How it works…

MalConv – end-to-end deep learning for malicious PE detection

Getting ready How to do it... How it works…

Tackling packed malware

Using packers

Getting ready How to do it... How it works…

Assembling a packed sample dataset

Getting ready How to do it... How it works…

Building a classifier for packers

Getting ready How to do it... How it works…

MalGAN – creating evasive malware

Getting ready How to do it... How it works…

Tracking malware drift

Getting ready How to do it... How it works…

Machine Learning for Social Engineering

Technical requirements Twitter spear phishing bot

Getting ready How to do it... How it works…

Voice impersonation

Getting ready How to do it... How it works…

Speech recognition for OSINT

Getting ready How to do it... How it works…

Facial recognition

Getting ready How to do it… How it works…

Deepfake

Getting ready How to do it... How it works…

Deepfake recognition

Getting ready How to do it... How it works…

Lie detection using machine learning

Getting ready How to do it... How it works…

Personality analysis

Getting ready How to do it... How it works…

Social Mapper

Getting ready How to do it... How it works…

Fake review generator

Training a fake review generator

Getting ready How to do it... How it works…

Generating fake reviews

Getting ready How to do it... How it works...

Fake news

Getting ready How to do it… How it works…

Penetration Testing Using Machine Learning

Technical requirements CAPTCHA breaker

Processing a CAPTCHA dataset

Getting ready How to do it... How it works…

Training a CAPTCHA solver neural network

Getting ready How to do it... How it works…

Neural network-assisted fuzzing

Getting ready How to do it... How it works…

DeepExploit

Getting ready How to do it... How it works…

Web server vulnerability scanner using machine learning (GyoiThon)

Getting ready How to do it... How it works…

Deanonymizing Tor using machine learning

Getting ready How to do it…

Collecting data Training Predicting

How it works…

IoT device type identification using machine learning

Getting ready How to do it… How it works...

Keystroke dynamics

Getting ready How to do it... How it works...

Malicious URL detector

Getting ready How to do it… How it works…

Deep-pwning

Getting ready How to do it… How it works…

Deep learning-based system for the automatic detection of software vulnerabilities

Getting ready How to do it… How it works…

Automatic Intrusion Detection

Technical requirements Spam filtering using machine learning

Getting ready How to do it... How it works…

Phishing URL detection

Getting ready How to do it… How it works…

Capturing network traffic

Getting ready How to do it… How it works…

Network behavior anomaly detection

Getting ready How to do it… How it works…

Botnet traffic detection

Getting ready How to do it… How it works…

Insider threat detection

Feature engineering for insider threat detection

Getting ready How to do it… How it works...

Employing anomaly detection for insider threats

Getting ready How to do it... How it works…

Detecting DDoS

Getting ready How to do it… How it works…

Credit card fraud detection

Getting ready How to do it… How it works…

Counterfeit bank note detection

Getting ready How to do it... How it works...

Ad blocking using machine learning

Getting ready How to do it... How it works...

Wireless indoor localization

Getting ready How to do it… How it works…

Securing and Attacking Data with Machine Learning

Technical requirements Assessing password security using ML

Getting ready How to do it… How it works…

Deep learning for password cracking

Getting ready How to do it… How it works… There's more

Deep steganography

Getting ready How to do it… How it works…

ML-based steganalysis

Getting ready How to do it... How it works…

ML attacks on PUFs

Getting ready How to do it... How it works… There's more

Encryption using deep learning

Getting ready How to do it... How it works...

HIPAA data breaches – data exploration and visualization

Getting ready How to do it… How it works…

Secure and Private AI

Technical requirements Federated learning

Getting ready How to do it… How it works...

Encrypted computation

Getting ready How to do it… How it works…

Private deep learning prediction

Getting ready How to do it… How it works…

Testing the adversarial robustness of neural networks

Getting ready How to do it... How it works...

Differential privacy using TensorFlow Privacy

Getting ready How to do it... How it works...

Appendix

Setting up a virtual lab environment

Getting ready How to do it... How it works...

Using Python virtual environments

Getting ready How to do it... How it works...

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