Smart Home Network Simulation for Visualisation and Generation of IoT/SmartHome Network traffic

Andreas T. Meyer-Berg cfaa05246c Fixes FalsePositive Bugs, adds new scenarios		vor 3 Jahren
examples	69b7c0e71d Merge branch 'GlobalScheduler'	vor 4 Jahren
gradle	0416ffdcce Updates Gradle to 5.4.1	vor 5 Jahren
libs	b439b521b2 Finaly fixes Weka dependency	vor 5 Jahren
libs_src	b439b521b2 Finaly fixes Weka dependency	vor 5 Jahren
src	cfaa05246c Fixes FalsePositive Bugs, adds new scenarios	vor 3 Jahren
.gitignore	d58919f07f Adds CSV Export V1	vor 3 Jahren
README.md	b00e30311e Updates Readme	vor 4 Jahren
build.gradle	b439b521b2 Finaly fixes Weka dependency	vor 5 Jahren
gradle.properties	353e2ff9dd Enables running the GUI via gradle	vor 6 Jahren
gradlew	ffaa9fd17f Enables execution of gradlew on linux systems	vor 6 Jahren
gradlew.bat	3b5ec28546 Initializes gradle as build tool	vor 6 Jahren
settings.gradle	3b5ec28546 Initializes gradle as build tool	vor 6 Jahren

IoT Dataset Generation Framework

IoT Dataset Generation Framework for Visualization and Generation of IoT/SmartHome Network traffic

Short Paper Link

The short paper "IoT dataset generation framework for evaluating anomaly detection mechanisms" by Andreas Meyer-Berg, Rolf Egert, Leon B�ck, and Max M�hlh�user for this framework is presented at https://doi.org/10.1145/3407023.3407036.

Gradle tasks

Gradle will download required libraries and handle the build process

$ gradlew build     # Assembles and tests this project

$ gradlew jar       # Creates an executable Jar-file

$ gradlew javadoc   # Generates Java Doc for the framework

$ gradlew test      # Runs the included unit tests

$ gradlew run       # Runs the IoTDatasetGenerationFramework as a JVM Application

$ gradlew runIt     # Runs the IoTDatasetGenerationFramework as a Jar-file

$ gradlew tasks     # Displays further available tasks

Prerequisites

Java SE JDK 8.0 or greater

Required Libraries

Gradle downloads these during the build process

JUnit4 - Java unit test framework
Math3 - Apache Common Maths (for Distribution function)
Weka 3 - Weka machine learning framework (for example anomaly detection algorithms)

Installation

Clone repository $ git clone git@git.tk.informatik.tu-darmstadt.de:SPIN/IoTDatasetGenerationFramework.git Go to folder $ cd IoTDatasetGenerationFramework Build project (and run) $ gradlew run

Adaptations and custom implementations

To change code of the framework, it is possible to import it into an IDE of choice. Custom implementations of devices, protocols etc. can also be written in a separate project and later be imported.
For access to libraries during development the Jar files in "\build\install\SmartHomeNetworkSim\lib" can be imported. While running the framework, externally implemented programs can be imported.

Developed by

Andreas T. Meyer-Berg (As part of his Bachelor Thesis)

README.md