LT-FS-ID: Intrusion detection in WSNs
Donated on 3/8/2022
There exist five columns in this dataset. The first four columns are features (i.e., area, sensing range, transmission range, number of sensor nodes), and the last column is the predictor or target variable (i.e., Number of barriers). This dataset is synthetically created through Monte-Carlo simulations.
Dataset Characteristics
Tabular
Subject Area
Computer Science
Associated Tasks
Regression
Feature Type
-
# Instances
182
# Features
4
Dataset Information
For what purpose was the dataset created?
We generated this dataset for fast intrusion detection and prevention. We used Monte-Carlo simulation to synthetically generate this dataset to reduce the computational cost.
Who funded the creation of the dataset?
Mentioned in the published paper.
What do the instances in this dataset represent?
Mentioned in the published paper.
Are there recommended data splits?
Mentioned in the published paper.
Was there any data preprocessing performed?
Well explained in the published paper.
Additional Information
For more details please visit; https://www.abhilashsingh.net/?source=lt_fs_id
Has Missing Values?
No
Introductory Paper
By Singh, A., Amutha, J., Nagar, J., Sharma, S., and Lee, C.-C. 2022
Published in Journal
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| Area | Feature | Continuous | Meter-square | no | |
| Sensing Range | Feature | Continuous | Meter | no | |
| Transmission Range | Feature | Continuous | Meter | no | |
| Number of Sensor nodes | Feature | Continuous | N/A | no | |
| Number of Barriers | Target | Continuous | N/A | no |
0 to 5 of 5
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset lt_fs_id_intrusion_detection_in_wsns = fetch_ucirepo(id=715) # data (as pandas dataframes) X = lt_fs_id_intrusion_detection_in_wsns.data.features y = lt_fs_id_intrusion_detection_in_wsns.data.targets # metadata print(lt_fs_id_intrusion_detection_in_wsns.metadata) # variable information print(lt_fs_id_intrusion_detection_in_wsns.variables)
Singh,Abhilash. (2022). LT-FS-ID: Intrusion detection in WSNs. UCI Machine Learning Repository. https://doi.org/10.3390/s22031070.
@misc{misc_lt-fs-id:_intrusion_detection_in_wsns_715,
author = {Singh,Abhilash},
title = {{LT-FS-ID: Intrusion detection in WSNs}},
year = {2022},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.3390/s22031070}
}Keywords
Creators
Abhilash Singh
abhilash.iiserb@gmail.com
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.