Social CLWPR: A socially enhanced position based routing protocol for handling misbehaviour inVANETs

Mantas, Nikolaos; Louta, Malamati; Κατσαρός, Κωνσταντίνος; Kraounakis, Stylianos

doi:10.1109/iisa.2017.8316449

Cited by 8 publications

(5 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Zhang et al 22 proposed an INterest-BAsed Routing (INBAR) framework for VSNs, where a new metric of community energy as a social characteristic is developed to indicate nodes’ social proximity to make forwarding decisions. Mantas et al 23 extracted the social relationships of the owner of a node from online social media and selected next forwarding nodes based on their social relationships. Yang and Wang 24 proposed a social network approach for trustworthy information sharing in vehicular networks, which uses direct trust to mine driver interest similarities and interactions, and measures indirect trust by investigating how closely drivers are socially connected.…”

Section: Related Workmentioning

confidence: 99%

“…In sum, the existing methods have been effective and successful in their targeted applications, 35 but are insufficient or face some technical challenges when applied 12 ü ü ü Kerrache et al 13 ü ü ü Li and Song 14 ü Minhas et al 15 ü ü Lu et al 16 ü ü Cheng et al 6 ü ü Kerrache et al 17 ü ü DoS, DDoS Kerrache et al 18 ü ü Black hole Kerrache et al 19 ü ü Alishev et al 20 ü Li et al 21 ü ü ü Zhang et al 22 ü Mantas et al 23 ü Drop Yang and Wang 24 ü Gu et al 25 ü Al-Qurishi et al 26 ü Sybil Li et al 27 ü Zhu 28 ü Wu et al 29 ü On-off Zhang et al 30 ü Liu et al 31 ü Chen et al 32 ü Raj and Balasubramanian 33 ü ü ü Kerrache et al 34 ü ü ü ü…”

Section: Social Characteristics and Social Trustmentioning

confidence: 99%

See 1 more Smart Citation

A hybrid trust model based on communication and social trust for vehicular social networks

Fan

Shen

et al. 2022

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Vehicular social networks are emerging hybrid networks that combine traditional vehicular networks and social networks, with two key types of nodes, that is, vehicles and drivers. Since vehicle behaviors are controlled or influenced by drivers, the trustworthiness of a vehicle node is essentially determined by its own communication behaviors and its driver’s social characteristics. Therefore, human factors should be considered in securing the communication in vehicular social networks. In this article, we propose a hybrid trust model that considers both communication trust and social trust. Within the proposed scheme, we first construct a communication trust model to quantify the trust value based on the interactions between vehicle nodes, and then develop a social trust model to measure the social trust based on the social characteristics of vehicle drivers. Based on these two trust models, we compute the combined trust assessment of a vehicle node in vehicular social networks. Extensive simulations show that the proposed hybrid trust model improves the accuracy in evaluating the trustworthiness of vehicle nodes and the efficiency of communication in vehicular social networks.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Social Characteristics and Social Trustmentioning

confidence: 99%

A hybrid trust model based on communication and social trust for vehicular social networks

Fan

Shen

et al. 2022

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

show abstract

“…In the Give2Get Delegation Forwarding protocol, 48 the authors suggest that the next forwarder nodes is selected based on the number of encounters and most recent contacts with the destination, as the presence of selfish nodes leads to poor quality promotion. In a previous work, 49 we proposed Social CLWPR by introducing online social aspects to the design of the CLWPR protocol so as to address misbehaving (selfish or malicious) nodes that intentionally drop packets and ultimately inhibit cooperation in the network. The proposed protocol favors nodes with close favorable social relationship (family members, friends, users with trust connections) as next forwarder nodes, while nodes with explicit distrust connections as indicated from online social information are not preferred in the network.…”

Section: Related Work On Social‐aware Routing In Vehicular Ad‐hoc Net...mentioning

confidence: 99%

“…The proposed protocol is an extension of CLWPR and its variants (social and enhanced CLWPR) 5,36,49 . The CLWPR protocol has been designed specifically for VANETs in urban environments, taking into consideration both sparse and dense vehicle traffic.…”

Section: The Scale Protocolmentioning

confidence: 99%

“…The proposed protocol is an extension of CLWPR and its variants (social and enhanced CLWPR). 5,36,49 The CLWPR protocol has been designed specifically for VANETs in urban environments, taking into consideration both sparse and dense vehicle traffic. It is a position-based protocol which uses the distance on the road (Curvemetric) as a metric, instead of the actual geographic (Euclidean) distance.…”

Section: Related Work On Social-aware Routing In Vehicular Ad-hoc Net...mentioning

confidence: 99%

See 1 more Smart Citation

Exploiting trust, influence, and physical proximity for improving routing performance in vehicular ad hoc networks: The SCALE protocol

Mantas

Louta

Karetsos

2022

Int J Communication

Self Cite

View full text Add to dashboard Cite

Vehicular ad hoc networks (VANETs) are receiving increased attention, and several routing protocols have been proposed already by the research community. In such a framework, social aspects and human mobility are important performance enablers, which however are mostly overlooked. In this work, we propose the socially aware CLWPR (SCALE) protocol, significantly enhancing cross-layer weighted position-based routing (CLWPR), a routing protocol for urban VANET environments, combining social properties such as trust, influence, and users' individual mobility patterns to its core design in order to support an efficient content dissemination scheme. The design principles of SCALE that rely on both online and offline social metrics quantifying relationships on social networking platforms and opportunistic contacts of nodes due to physical proximity, respectively, are presented, while nodes with close online and offline social relationship are favored as next forwarder nodes. Subsequently we provide the performance evaluation of SCALE against other routing protocols in distributed vehicular networks, employing representative urban scenarios with synthetic and real traffic. It is shown that the proposed approach presents improved performance in terms of Packet Delivery Ratio (PDR) and throughput when compared with other similar protocols by an average of 37% in scenarios with synthetic dataset and 58% with real dataset for PDR and by an average of 45% in scenarios with synthetic dataset and 61% with real dataset for throughput.

show abstract

Cache agent based location aided routing using distance and direction for performance enhancement in VANET

Gurumoorthi

Ayyasamy

2019

Telecommun Syst

View full text Add to dashboard Cite

Social CLWPR: A socially enhanced position based routing protocol for handling misbehaviour inVANETs

Cited by 8 publications

References 18 publications

A hybrid trust model based on communication and social trust for vehicular social networks

A hybrid trust model based on communication and social trust for vehicular social networks

Exploiting trust, influence, and physical proximity for improving routing performance in vehicular ad hoc networks: The SCALE protocol

Cache agent based location aided routing using distance and direction for performance enhancement in VANET

Contact Info

Product

Resources

About