A trust-based architecture for managing certificates in vehicular ad hoc networks

Gazdar, Tahani; Benslimane, Abderrahim; Rachedi, Abderrezak; Belghith, Abdelfettah

doi:10.1109/iccitechnol.2012.6285787

Cited by 12 publications

(8 citation statements)

References 11 publications

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“…Tahani g. et al [14], proposed hybrid trust model for determines trust metric. Two terms used for monitoring trust: cooperation with other vehicles in network and broadcast legitimate data.…”

Section: Related Workmentioning

confidence: 99%

Trust Based Approaches for Secure Routing in VANET: A Survey

Patel¹,

Jhaveri²

2015

Procedia Computer Science

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Vehicular Ad-hoc networks (VANETs) require trusted vehicles to vehicles communication. VANET is multidimensional network in which the vehicles continuously change their locations. Secure routing is imperative during the routing process to incorporate mutual trust between these nodes. Sometimes, the malicious node broadcast the bogus information among other nodes. Establishing trust is a challenge while one or more malicious nodes attempt to disrupt route discovery or data transmission in the network. A lot of research has been carried out for secure routing process with trust-based approaches. In this paper, we present survey of various mechanisms to improve different ad-hoc routing protocols for secure routing process by enhancing the trust among different nodes in VANETs.

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Section: Related Workmentioning

confidence: 99%

Trust Based Approaches for Secure Routing in VANET: A Survey

Patel¹,

Jhaveri²

2015

Procedia Computer Science

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“…After the completion of clusteringTime, the cluster-head announce its ID within the cluster (lines [31][32][33][34][35]. The leader nodes also announce themselves as leaders to other cluster members and update their cluster-head ID (CID) to the ID of the new cluster-head (lines 38 to 45).…”

Section: Leadership Formationmentioning

confidence: 99%

“…In [34], a two stage distributed intrusion detection system is proposed. Each stage consists of two detection systems as-maxima detection system (MDS) and cross-correlative detection system (CCDS).…”

Section: Intrusion Detection Mechanismsmentioning

confidence: 99%

An intelligent clustering scheme for distributed intrusion detection in vehicular cloud computing

et al. 2015

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In recent years, vehicular cloud computing (VCC) has emerged as a new technology which is being used in wide range of applications in the area of multimedia-based healthcare applications. In VCC, vehicles act as the intelligent machines which can be used to collect and transfer the healthcare data to the local, or global sites for storage, and computation purposes, as vehicles are having comparatively limited storage and computation power for handling the multimedia files. However, due to the dynamic changes in topology, and lack of centralized monitoring points, this information can be altered, or misused. These security breaches can result in disastrous consequences such as-loss of life or financial frauds. Therefore, to address these issues, a learning automata-assisted distributive intrusion detection system is designed based on clustering. Although there exist a number of applications where the proposed scheme can be applied but, we have taken multimedia-based healthcare application for illustration of the proposed scheme. In the proposed scheme, learning automata (LA) are assumed to be stationed on the vehicles which take clustering decisions intelligently and select one of the members of the group as a cluster-head. The cluster-heads then assist in efficient storage and dissemination of information through a cloud-based infrastructure. To secure the proposed scheme from malicious activities, standard cryptographic technique is used in which the auotmaton learns from the environment and takes adaptive decisions for identification of any malicious activity in the network. A reward and penalty is given by the stochastic environment where an automaton performs its actions so that it updates its action probability vector after getting the reinforcement signal from the environment. The proposed scheme was evaluated using extensive simulations on ns-2 with SUMO. The results obtained indicate that the proposed scheme yields an improvement of 10 % in detection rate of malicious nodes when compared with the existing schemes.

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“…The route verification is performed securely for the selection of most secure route among the nodes in the network. Gazdar et al [19] proposed a trust-based architecture for public key infrastructure in VANETs for calculating the trust of vehicles. The fuzzy-based inference system is used to calculate the trust of the vehicles where the vehicles that are trusted and have at least one trusted neighbor could be used as the contender for certification authority (CA) within its cluster, whereas managing the cluster formation in such dynamic network is itself a major concern.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy‐based trust prediction for effective coordination in vehicular ad hoc networks

Malhi

Batra

2016

Int J Communication

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SUMMARYIn a vehicular ad hoc network, trust between vehicles is vital to efficiently transmit the data among vehicles. Secure node selection is based on the trust value that a node can calculate during its operations in a dynamic network. This will increase the confidentiality level of the network, thus improving the network performance. However, defining confidentiality is not a crisp task, rather it can range between certain limits. A fuzzy-based inference engine can be used to optimally define these limits. In this paper, a fuzzy-based trust prediction model is proposed to effectively compute the trust of other vehicles for the secure path formation in vehicular ad hoc networks. In the designed approach, each vehicle models the trustworthiness of the neighbors in its cognitive range to dynamically select the relay nodes that can be used for data transmission and the election of the appropriate path for routing in vehicular ad hoc network environment. The results and analysis of the proposed model over the standard protocols are presented using simulations.

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A trust-based architecture for managing certificates in vehicular ad hoc networks

Cited by 12 publications

References 11 publications

Trust Based Approaches for Secure Routing in VANET: A Survey

Trust Based Approaches for Secure Routing in VANET: A Survey

An intelligent clustering scheme for distributed intrusion detection in vehicular cloud computing

Fuzzy‐based trust prediction for effective coordination in vehicular ad hoc networks

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