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Title	Ddos Attack Detection In Vehicular Ad-Hoc Network (Vanet) For 5G Networks
ID_Doc	17575
Authors	Gaurav A.; Gupta B.B.; Peñalvo F.J.G.; Nedjah N.; Psannis K.
Year	2022
Published	Studies in Big Data, 95
DOI	http://dx.doi.org/10.1007/978-3-030-85428-7_11
Abstract	VANET is a crucial part of the intelligent transport system (ITS). VANET helps the vehicle nodes to exchange important and life-saving information, so any attack on VANET should be detected fast. The DDoS attack is one of the cyber-attacks that attack the availability of the VANET systems. Due to the DDoS attack vehicle nodes are not capable to exchange valuable information. In this chapter, we propose a fog-based DDoS detection approach that uses fuzzy logic to differentiate attack traffic from normal traffic in 5G-enabled smart cities. The proposed approach achieves more than 90% precision and true negative rate, it indicates that our proposed approach correctly identifies the DDoS attack traffic. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords	5G; DDoS; Fog computing; Fuzzy logic; Trust based system; VANET

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