Dataset · Hugging Face

Omrilevi123/gnss-jamming-spoofing-detection

Name: gnss-jamming-spoofing-detection
Creator: Omrilevi123
License: mit
Keywords: task_categories:tabular-classification, task_categories:time-series-forecasting, language:en, license:mit, size_categories:10K<n<100K, format:csv, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, gnss, gps

GNSS Jamming & Spoofing Detection Dataset A physics-informed synthetic dataset for detecting GPS/GNSS cyber-attacks (Jamming and Spoofing) from satellite-signal features. Built for the GNSS Guardian project — Introduction to Data Science final project. Overview 14,850 samples across 450 scenarios × 33 time-steps each 3 balanced classes: Normal / Jamming / Spoofing (4,950 each) 26 columns: multi-constellation signal features + attack metadata + text descriptions… See the full description on the dataset page: https://huggingface.co/datasets/Omrilevi123/gnss-jamming-spoofing-detection.

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Author / organization	Omrilevi123
License (as declared)	mit
Downloads	160 (as reported by Hugging Face)
Likes	0
Created	13 June 2026
Last updated at source	1 August 2026

gnssgpsjammingspoofingcybersecurityanomaly-detectionsynthetic-data

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