eece655-final-project

In this project, we implement an NMAP-attack live detection system, powered by a FCNN detector and a Random Forest classifier.

Install guide

First, you will need to install the kdd99_feature_extractor tool by following the instructions here
Next, clone the project into a directory of your choice <path-to-project> and navigate to it
Execute bash install.sh

Navigate to the directory containing the tool (default is ~/kdd99_feature_extraction).
Execute bash run-detect.sh

Refer to classifier/README.md

Name		Name	Last commit message	Last commit date
Latest commit History 30 Commits
Data Collection and Labeling		Data Collection and Labeling
classifier		classifier
.gitignore		.gitignore
README.md		README.md
install.sh		install.sh
livedetection.py		livedetection.py
run-detect.sh		run-detect.sh