Message Fabrication Detection Model based on Reactive Protocols in VANET

Chbib, Fadlallah; Fahs, Walid; Haydar, Jamal; Khoukhi, Lyes; Khatoun, Rida

doi:10.1109/csnet50428.2020.9265458

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…In our simulation, we downloaded the Hamra area (Lebanon-Beirut's major commercial district) file from OpenStreetMap, then we used this map file in the SUMO 0.22 simulator to create a real-time scenario as shown in Figure 6. Traffic data mobility is generated in the SUMO trace exporter; [31][32][33][34][35][36][37] this is exported to the NS2 simulator. Then, we use the awk script file to analyze the obtained Results (Figure 7).…”

Section: Simulation Scenariomentioning

confidence: 99%

A cross‐layered scheme for multichannel and reactive routing in vehicular ad hoc networks

Chbib

Khoukhi

Fahs

et al. 2022

Trans Emerging Tel Tech

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Recently, with the different issues encountered in road mobility, the presence and development of the Vehicular Ad hoc Networks (VANETs) have become a necessity. VANETs have various positive impacts on vehicular safety, road security, traffic management, drivers' comfort, and passengers' convenience. However, the expansion in the world's population has led to enormous traffic congestion on multiple roads. This congestion results in uncontrollable delays affecting economics, society and the environment. In this paper, we propose two routing protocols that depend on the Signal to Interference Ratio (SIR), differing from existing ones by introducing a new metric to select the best route from a source to a destination. In the first protocol, we choose the best route based on the maximum level of SIR at each node. Besides, we select the Backup SIR to minimize the number of SIR calculations at the channel update process. While in the second protocol, we design a hybrid Markov chain model composed of two Markov models; the first one aims at predicting the SIR value of the next round, while the second one is an analytical model that targets managing the number of channel update process. In order to validate our solution, extensive simulations are realized in considering the real scenario of the city of Beirut (Lebanon). The results show that our proposed protocols perform better with regard to overhead, packet delivery ratio, throughput and end‐to‐end delay.

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Section: Simulation Scenariomentioning

confidence: 99%

A cross‐layered scheme for multichannel and reactive routing in vehicular ad hoc networks

Chbib

Khoukhi

Fahs

et al. 2022

Trans Emerging Tel Tech

Self Cite

View full text Add to dashboard Cite

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A Classification of Misbehavior Detection Schemes for VANETs: A Survey

Sangwan

Singh

2022

Wireless Pers Commun

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In today's era, thinking of Vehicular Ad-hoc Network (VANET) as a midrib for the leaf of academic, social, corporate, and economic activities will not be erroneous. To avoid any panic situations like road accidents, heavy tra c jams, etc., the timely availability of correct information is compulsory. The presence of malicious nodes within the network will ruin the dream of establishing a safe, secure, and accident-free vehicular network. This objective can be ful lled only when malicious nodes within the network are identi ed correctly and respective actions are taken at the right time. Therefore, there is a great requirement for e cient and intelligent misbehavior detection techniques to deal with such situations. Vehicular networks are very prone to numerous attacks, such as Sybil attacks, unauthorized access, etc. due to their dynamic nature. The main goal of this study is to discuss and bundle various available misbehavior detection schemes and respective solutions to cope with harmful attackers in the network. We have categorized different misbehavior detections on the criteria of architecture, approach, node-centric, and data-centric. The subcategorization is also given within the paper. One section of this paper focuses on the role of machine learning techniques in misbehavior detection as an emerging foot strap for further enhancement. A comparative analysis of various misbehavior detection schemes is also conducted based on performance measures like accuracy, False Positive Rate, Recall, Precision and Fmeasurement. Finally, the paper concluded by discussing open issues and various research challenges associated with misbehavior detection in the Vehicular Ad-hoc Network.

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Message Fabrication Detection Model based on Reactive Protocols in VANET

Cited by 2 publications

References 17 publications

A cross‐layered scheme for multichannel and reactive routing in vehicular ad hoc networks

A cross‐layered scheme for multichannel and reactive routing in vehicular ad hoc networks

A Classification of Misbehavior Detection Schemes for VANETs: A Survey

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