Comprehensive Vehicular Communication Network Attack Dataset
收藏DataCite Commons2025-04-04 更新2025-04-16 收录
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资源简介：
Abstract: This dataset captures critical vehicular-specific attacks (Position Spoofing, Sybil, and Wormhole) in Vehicular Communication Networks (VCNs). It incorporates legitimate and malicious instances generated using realistic mobility patterns, positional dynamics, and temporal interactions.
Dataset Details:
Instances:
Spoofing: 45,975 legitimate, 589 malicious
Wormhole: 52,237 legitimate, 5,219 malicious
Sybil: 14,829 legitimate, 1,753 malicious
Features Included: Mobility dynamics (speed, rate of distance change), Positional features (location, inter-vehicle distances), Temporal features (time intervals), Communication metrics (packets count, transmission rates, reception rates, hop counts), Attack-specific labels (Spoofing, Sybil, Wormhole)
提供机构：
Mendeley Data
创建时间：
2025-04-04
