Detecting sybil attacks in vehicular ad hoc networks using fuzzy logic and arithmetic optimization algorithm

In vehicular ad hoc networks (VANETs), Sybil attacks are serious security problems that can seriously affect the operations of the VANETs by producing fake identities and routes. To deal with this problem, in this paper, we present a cross-layer approach and fuzzy logic-based solution that should be...

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Bibliographic Details
Published in:	The Journal of supercomputing Vol. 78; no. 14; pp. 16303 - 16335
Main Authors:	Maleknasab Ardakani, Mahdi, Tabarzad, Mohammad Ali, Shayegan, Mohammad Amin
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.09.2022 Springer Nature B.V
Subjects:	Algorithms Arithmetic Compilers Computer Science Cybersecurity Fuzzy control Fuzzy logic Fuzzy sets Interpreters Mobile ad hoc networks Optimization Optimization algorithms Processor Architectures Programming Languages Roadsides Signal strength Signal to noise ratio Simulators Fuzzy logic VANET RSSI Sybil Attacks Security
ISSN:	0920-8542, 1573-0484
Online Access:	Get full text
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