LSOT: A Lightweight Self-Organized Trust Model in VANETs

Abstract

With the advances in automobile industry and wireless communication technology, Vehicular Ad hoc Networks (VANETs) have attracted the attention of a large number of researchers. Trust management plays an important role in VANETs. However, it is still at the preliminary stage and the existing trust models cannot entirely conform to the characteristics of VANETs. This work proposes a novel Lightweight Self-Organized Trust (LSOT) model which contains trust certificate-based and recommendation-based trust evaluations. Both the supernodes and trusted third parties are not needed in our model. In addition, we comprehensively consider three factor weights to ease the collusion attack in trust certificate-based trust evaluation, and we utilize the testing interaction method to build and maintain the trust network and propose a maximum local trust (MLT) algorithm to identify trustworthy recommenders in recommendation-based trust evaluation. Furthermore, a fully distributed VANET scenario is deployed based on the famous Advogato dataset and a series of simulations and analysis are conducted. The results illustrate that our LSOT model significantly outperforms the excellent experience-based trust (EBT) and Lightweight Cross-domain Trust (LCT) models in terms of evaluation performance and robustness against the collusion attack.

B-FICA: BlockChain based Framework for Auto-Insurance Claim and Adjudication

“…In their proposal, a host vehicle can record its perception of an accident and also store data from neighboring witnesses. However, the challenge is that evidence retrieved is stored in different centralized databases which presents a single point of failure [20,21].…”

Trustworthy Event-Information Dissemination in Vehicular Ad Hoc Networks

“…However, GS schemes are usually based on PKI, and message sender authentication cannot prevent legitimate nodes from sending malicious messages. [5], ESA [17], IBGS [18], GSIS [19], IBV [20], EGSS [21], iTrust [22], PMBP [23] STRM [13], TRIP [24], RaBTM [25] Non-infrastructure based ETM [26], MTM [27], LSOT [28], BTM [29] CTID [14], ITM [15], RMCV [30], ERM [31], VARS [32], TMEP [33], CRMS [34] Trust management schemes in the second category require infrastructure including roadside unit or central authority without using PKI [13,24,25]. Schemes such as Trust and Reputation Infrastructure-based Proposal (TRIP) [24] and road side unit (RSU) and Beacon-Based Trust Management (RaBTM) [25] may not work if infrastructure is not available.…”

“…Schemes such as Trust and Reputation Infrastructure-based Proposal (TRIP) [24] and road side unit (RSU) and Beacon-Based Trust Management (RaBTM) [25] may not work if infrastructure is not available. In the third category, the issue of message trustworthiness was investigated based on PKI in an infrastructure-less environment [26][27][28][29]. In [27], the authors proposed a multidimensional approach for trust management in decentralized VANET environments using four different types of roles for different types of vehicles.…”

“…They are entity based, data-centric based, and hybrid trust models [35]. Entity based trust model deals with the trustworthiness of each node considering the opinions of the peer nodes [26][27][28]36]. In [24], the authors proposed a fuzzy approach for the verification of the trustworthiness of the nodes by using feedback from their neighbors.…”

“…But, the inference module uses the prior probability, which is not easy to obtain due to dynamic topology of VANET. In [28], the authors proposed a trust model called a Lightweight Self-Organized Trust (LSOT), which contains trust certificate-based and recommendation-based trust evaluations. However, it did not distinguish between the trust value of a node and that of the reported message.…”