octoberzzzzz / Trust_Management_CAVs

The dataset in Trust Management for CAVs. The dataset upon completion will be added subsequent to the acceptance of the paper.
MIT License
0 stars 0 forks source link

1. "OriDataFiles_MAP_Detectors"

The original Map data and Detector data can be obtained by the zip file named "OriDataFiles_MAP_Detectors". F2MD is the simulation framework used to obtain the VeReMi-Extension dataset, and it is based on Veins (V2X Simulator). Veins operates on OMNET++ (Communication Simulator) and has an interface with SUMO(Traffic Simulator). Map data can be obtained from the file "lustnanoxml.csv" while Detector data can be obtained from "due.actuated.summary.xml". The file "due.actuated.summary.xml" needs to be re-simulated to synchronize its timestamps with those of the BSM data.

2. "Four Misbehaviors: 2-JSONFiles-ConstantPosition8.rar",2-JSONFiles-DoS8.rar,2-JSONFiles-GridSybil8.rar,2-JSONFiles-RandomSpeedOffset8.rar

The VeReMi-Extension datasets are available for downloading from the following link: https://mega.nz/folder/z0pnGA4a#WFEUISyS5_maabhcEI7HQA. The files provided by the authors are in ".json" format. Limited to the room, only few files are uploaded here.

3. "OriDataFiles_BSM"

Pre-processed data in CSV format has been uploaded here.The file "ConstantPos8_0_9" is taken as an example, which means the data from 28800s to 29400s.

4. Step 1 Feature Analysis; Step 2 Data Fusion; Step 3 Trust Factor Acquisition

The code files for data fusion and trust factor acquisition are not explicitly provided by the authors at this peer-reviewed stage.

5. Step 4 Trust prediction

The above-mentioned files are utilized for trust predictions using machine learning methods. Additionally, the input files are different for per-minute level and multi-minute level. The code files are not explicitly provided by the authors at this peer-reviewed stage.

6. Comparison with the Bayesian Interference-based TMS, Fuzzy Logic-based TMS