ENHANCING NETWORK SECURITY WITH A HYBRID NEURAL FUSION NETWORK FOR SYBIL ATTACK DETECTION

A VANET (Vehicular Ad Hoc Network) Malicious Node Dataset contains communication data generated from vehicles and roadside units where both normal and malicious nodes are present. It is mainly used to

Mendeley Data20

Dataset and Code for Enhancing security detection and mitigation of Sybil Attacks using Hybrid Learning Techniques

The purpose of the VANET-MaliciousNode Dataset is to identify malicious nodes in vehicular ad hoc networks (VANETs) in real time. It provides a realistic dataset for security research in intelligent

NIAID Data Ecosystem00

Network Attack Detection Dataset

Traffic and entropy for DoS attack detection

kaggle2025-01-27 更新160