Fuzzy Logic based Model for Energy Consumption Trust Estimation in Electric Vehicular Networks

Souissi, Ilhem; Azzouna, Nadia Ben; Berradia, Tahar; Saïd, Lamjed Ben

doi:10.5220/0006863202210233

Cited by 5 publications

(7 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Li and Song (2016) showed that the proposed model ensures a high preciseness score regardless the network's density. Simulations in Souissi et al (2018) proved that the proposed trust model is resilient to many kinds of threats at different traffic densities. Oluoch (2015) showed that as the density goes up, the probability of detecting safety events increases simultaneously.…”

Section: Second-level: Trust Relationship Assessment For V2v and V2i mentioning

confidence: 90%

“…As well, the solution introduced in Li and Song ( 2016) ensures a low complexity since the adopted theory (Dempster-Shafer theory) can effectively meet with real-time applications as proved in Raya et al (2008). Regarding the fuzzy-based trust approaches, the implementation of such models is simple (Soleymani et al, 2017;Souissi et al, 2018). Simulation results presented by Hu et al (2015) show that the required time for trust estimation is high.…”

Section: Second-level: Trust Relationship Assessment For V2v and V2i mentioning

confidence: 98%

“…P laczek and Bernas (2016) proved that the combination of these rules enhances the detection of malicious data and reduces the delay. In Souissi et al (2018), they introduced a fuzzy-based trust model for the energy consumption trust estimation in electric vehicular network. The presented model studies the correlation between the vehicle's behaviour (acceleration and deceleration) and the consumed energy.…”

Section: Second-level: Trust Relationship Assessment For V2v and V2i mentioning

confidence: 99%

“…• Scalability: Ensure that the proposed solution performs well whenever the network's size increases. Hu et al (2015), Soleymani et al (2017), Li and Song (2016), Souissi et al (2018), Oluoch (2015 and Yao et al (2017) were interested in this criterion. Hu et al (2015) proved that the higher the density is, the better the Relay Ratio is and the lower the delay is.…”

Section: Second-level: Trust Relationship Assessment For V2v and V2i mentioning

confidence: 99%

See 3 more Smart Citations

A multi-level study for trust management models assessment in VANETs

2020

Self Cite

View full text Add to dashboard Cite

Nowadays, trust management is one of the key elements to ensure a high security level in ad hoc networks. Trust assessment can be perceived at three levels. First, the data perception trust need to be assessed in order to ensure a high quality of raw sensed data. Second, the trust relationship assessment is required to detect the selfish and malicious entities and to maintain the data integrity. Finally, the data fusion trust is essential to preserve the performance of the fusion process. In this paper, we intend to point out the need to integrate the data perception trust, the communication trust and the data fusion trust in order to preserve the information trustworthiness in VANETs. We further browse the literature to identify recent advancements with regard to each type of trust.

show abstract

Section: Second-level: Trust Relationship Assessment For V2v and V2i mentioning

confidence: 90%

Section: Second-level: Trust Relationship Assessment For V2v and V2i mentioning

confidence: 98%

Section: Second-level: Trust Relationship Assessment For V2v and V2i mentioning

confidence: 99%

Section: Second-level: Trust Relationship Assessment For V2v and V2i mentioning

confidence: 99%

See 2 more Smart Citations

A multi-level study for trust management models assessment in VANETs

2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Although, latency and data sparsity is the major demerits of this policy [11,15,16]. Energy-related information in electric vehicular networks and a central processing entity is proposed in [20]. It discriminates between credible and erroneous values and addresses malevolent vehicles to disseminate this false information based on a fuzzy trust model.…”

Section: Related Workmentioning

confidence: 99%

T-AODV: A trust-based routing against black-hole attacks in VANETs

Honarmand,

Keshavarz-Haddad

2024

Peer-to-Peer Netw. Appl.

View full text Add to dashboard Cite

Vehicular Ad Hoc Network (VANET) is a key component in the Intelligent Transportation System (ITS) with a number of applications for safety, tra c management, emergency services, entertainment, and so on. These applications are implemented by exchanging data among the nodes in an open, dynamic, and distributed fashion, and hence VANETs are vulnerable to different network attacks. For examples, DoS and black-hole attacks can be easily executed in VANETs, and strongly affect the routing protocol and its functionality. Through the nature of VANETs, trust management is considered one of the practical means to secure these networks. In this paper, we propose an up-to-date dynamic entity-centric trust model for VANETs, called T-AODV. We use social science techniques to apply weight and fuzzy logic theory and identify the malicious nodes. Our NS2 simulation results indicate that T-AODV can be more resists in contact with black-hole attacks by boosting the security of AODV routing protocol. T-AODV slightly increases the routing overhead of AODV and provides better performance than the existing I-AODV scheme. IntroductionRecently the proliferation of demand for security and e ciency of road transportation procedure have persuaded the originators to integrate wireless communications and networking in vehicles. In VANETs, vehicles collaborate to disseminate miscellaneous data messages using multi-hop paths, without the need for centralized supervision [1, 2]. Additionally, VANET is gaining more popularity, since this communication network can improve transferring users' data, internet access, detection of transportation tra c congestion, and so on [3][4][5].Being structure-less, decentralized, and highly mobile are the intricate characters of VANETs that create several security issues. For instance, vehicles can play a role in VANET as sender or receiver and convey and acquire messages about the circumstances that witnessed and also fake information in this unstable perimeter as an autonomous device. Therefore, during the data exchange between distributed nodes, VANETs become vulnerable to many types of attacks. Finding an e cient solution to address the trustworthiness of messages and vehicles is a challenging task in VANET [6,7].Cryptography is the best-known technique to guarantee authenticity, privacy protection and con dentiality. Nonetheless, the cryptographic materials cannot cope with some issues such as authenticated sel sh vehicles, excessive dynamicity of the VANET topology, and etc. Thus, as a denouement and unanimity between researchers, they have emerged as inquisitive about the trust management in VANETs, to support the cooperation between entities, detect sel sh and misbehaving ones, and make certain dependable information conveyance and enhance the decision-making process [8][9][10]. Trust-based approaches can be categorized into three classes based on the principle assessment object, entity-centric, data-centric, and a combination of these trust models. In addition, interaction of entity trustworthiness an...

show abstract