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awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

darknet_traffic_time_series_analysis_using_ml

Darknet traffic time series analysis using Machine Learning techniques like LSTM, Recurrent Neural Networks (RNN), Adaptive Neuro-Fuzzy Inference System and Higher Order Neural Networks (HONN)

deep-learning-book

:book: MIT Deep Learning Book in PDF format

deep-learning-by-example

Deep Learning By Example, published by Packt

deep-learning-experiments

Notes and experiments to understand deep learning concepts

deep-learning-for-beginners

Deep Learning for Beginners, published by Packt

deep-learning-for-programmers

Learn to code deep learning algorithms

deep-learning-for-web-attacks-detection

Records of deep learning for web attacks detection

deep-learning-quick-reference

Deep Learning Quick Reference, published by Packt

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-learning-with-pytorch-lightning

Getting Started with PyTorch Lightning, Published by Packt

detecting-email-phishing

Detection of email phishing attack using CNN

detecting-phishing-attack-using-ml-dl-models

Developed a model to detect Phished emails from legitimate ones using the Spam Assassin dataset. Extracted relevant features by processing the mails using the NLP toolkit. Built various ML models like Naïve Bayes, Random Forest, and Voting Ensemble with the best accuracy of ~72%, and deep learning model like Neural Network with an accuracy of ~96%.

email-phishing-attempts-detection-using-nlp

Email Phishing Attempts Detection from the text of email bodies using natural language processing and machine learning

emailheaderanomalydetection

Using machine learning and features extracted from email headers to detect anomalies (i.e., spam, phishing) in email datasets.

emailphishingurldetection

encrypted-network-traffic-analysis-using-machine-learning

hands-on-artificial-intelligence-for-cybersecurity

Hands-On Artificial Intelligence for Cybersecurity, publised by Packt

hands-on-deep-learning-algorithms-with-python

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

hands-on-machine-learning-for-cyber-security

Hands-On Machine Learning for Cybersecurity, published by Packt

ids-for-sdn-using-ml

Intrusion Detection system for Software Defined Network

machine-learning-approach-for-malware-detection

A Machine Learning approach for classifying a file as Malicious or Legitimate

machine-learning-for-cybersecurity-cookbook

Machine Learning for Cybersecurity Cookbook, published by Packt

malware-analysis-and-detection-using-machine-learning

This Project is based on the ML technology used for Analyzing & detecting the Legitimate files and the Malwarefiles in the system

malware-detection

Malware Detection using Machine Learning

malware-detection-machine-learning-approach

Python program to detect Portable_Executable files as either malicious or legitimate by trying out 5 different classification algorithms and choosing the best one for prediction by comparing their results.

malware-detection-using-machine-learning

Malware detection project on Android devices using machine learning classification algorithms.

malware-detection-using-machine-learning-1

malware-detection-using-ml

A Machine Learning approach for classifying a file as Malicious or Legitimate