Federated Naive Bayes with Real Mixture of Gaussians and Institutional Governance Regularization for Network Intrusion Detection

Federated learning for intrusion detection rests on a flawed premise: that every participating institution contributes equally to the shared model. In practice, a financial institution with mature security controls and low vulnerability exposure produces fundamentally different data than a...

Empirical Evaluation of SMOTE in Android Malware Detection with Machine Learning: Challenges and Performance in CICMalDroid 2020

Malware, malicious software designed to damage computer systems and perpetrate scams, is proliferating at an alarming rate, with thousands of new threats emerging daily. Android devices, prevalent in smartphones, smartwatches, tablets, and IoTs, represent a vast attack surface, making malware...

GyoiThon - A Growing Penetration Test Tool Using Machine Learning

GyoiThon is a growing penetration test tool using Machine Learning. GyoiThon identifies the software installed on web server OS, Middleware, Framework, CMS, etc... based on the learning data. After that, it executes valid exploits for the identified software using Metasploit. Finally, it generate...

Twebit - Bitcoin Analysis in Twitter With Machine Learning

Bitcoin analysis with machine learning. How it works? 1- Get tweets from twitter. 2- Filter tweets. 3- Tweet classification with naive bayes algorithm Positive,negative and neut. Installation git clone https://github.com/omergunal/twebit cd twebit pip3 install -r requirements.txt Update your api...

High Precision WiFi Indoor Positioning Framework: FIND

High Precision WiFi Indoor Positioning Framework The Framework for Internal Navigation and Discovery FIND allows you to use your Android smartphone or WiFi-enabled computer laptop or Raspberry Pi or etc. to determine your position within your home or office. You can easily use this system in plac...

yarGen - A Generator for Yara Rules (for malware researchers)

yarGen is a generator for Yara rules. What does yarGen do? The main principle is the creation of yara rules from strings found in malware files while removing all strings that also appear in goodware files. Since version 0.14.0 it uses naive-bayes-classifier by Mustafa Atik and Nejdet Yucesoy in...