Trust Management in Vehicular Ad hoc NETwork

Author(s):  
Ryma Abassi

A vehicular ad hoc network (VANET) is a self-organized network that can be formed by connecting vehicles equipped with on-board units. Two types of communications are provided in VANET: vehicular-to-vehicular and vehicular-to-infrastructure. In the first communication type, vehicles communicate directly, whereas in V2I, vehicles communicate through routers called road side units (RSU). Trusted authorities control the network. VANET can be used in several cases. However, the main applications of VANET are oriented to safety issues. In such context, a security problem can have disastrous consequences. In fact, an attacker can be tempted to forward false information in order to obtain some privileges such as road liberation, etc. Hence, evaluating the reliability of transmissions is vital. Trust can be used to promote such healthy collaboration. In fact, trust enables collaborating vehicles to counter their uncertainty and suspicion by establishing trustworthy relationships. The main contribution of this chapter is then the proposition of a trust-based security scheme for VANET.

2020 ◽  
Vol 1 (3) ◽  
pp. 1-5
Author(s):  
Sonam Soni

This paper concerns about the various implemented work has been studied and analyzed to form a new survey on trust model to VANET. In this paper it is observed that there are lot of new techniques are possible to form a new trust model in VANET to provide better security with trust concern over the entire environment of trust management in VANET. This work concerns of entire trust calculation work which has been done yet over it. Here summarizing the various trust models, various security requirements, issues over it.


2019 ◽  
Vol 16 (2) ◽  
pp. 478-483
Author(s):  
Vijay Kumar Tripathi ◽  
S. Venkateswari

VANET (Vehicular Ad Hoc Network) used in vehicular communication which is trending are of current research and it is the future of vehicles industry. Many companies are investing lots of money to make their vehicles smart and effective so that need of driver can be reduced or omitted as well as journey should be safe and secure. Recently, Google tested its driverless car and the test was successful. Vehicular communication is becoming intelligent and efficient day by day. In this paper we are proposing a realistic approach to use VANET as an additional cellular tower by using Open BTS to reduce RSU (Road Side Units) and cellular towers. This will result reducing cost of installing more cell tower and increase communication speed along with reduction in harmful gasses which spreads in atmosphere due to use of diesel Generators which provide electricity to Cell Towers. VANET's OBU (On Board Unit) will work as Medium Range Cellular Tower (MRCT) to facilitate mobile phone and other subscribers in range of 1 to 2 Kilometer.


2020 ◽  
Vol 9 (1) ◽  
pp. 1532-1535

The vehicular ad hoc network is the network in which vehicles can move from one location to another without help of driver. The vehicle ad hoc network has two type of communication which is vehicles to vehicle and vehicle to road side units. The internet of things is the technology in which source can transmit sensed information over the internet. This research work is based on the vehicle of internet things. In the vehicles of internet things, the vehicles are connected with each other through internet. The various techniques of data aggregation in vehicle of things are reviewed in this paper and analyzed in terms of certain parameters


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xiaodong Zhang ◽  
Ru Li ◽  
Wenhan Hou ◽  
Jinshan Shi

In recent years, Vehicular Ad Hoc Network (VANET) has developed significantly. Coordination between vehicles can enhance driving safety and improve traffic efficiency. Due to the high dynamic characteristic of VANET, security has become one of the challenging problems. Trust of the message is a key element of security in VANET. This paper proposes a Manhattan Distance Based Trust Management model (MDBTM) in VANET environment which solves the problem in existing trust management research that considers the distance between the sending vehicle and event location. In this model, the Manhattan distance and the number of building obstacles are calculated by considering the movement relationship between the sending vehicle and event location. The Dijkstra algorithm is used to predict the path with the maximum probability, when the vehicle is driving toward the event location. The message scores are then calculated based on the Manhattan distance and the number of building obstacles. Finally, the scores are fused to determine whether to trust the message. The experimental results show that the proposed method has better performance than similar methods in terms of correct decision probability under different proportions of malicious vehicles, different numbers of vehicles, and different reference ranges.


Author(s):  
Seyed Ahmad Soleymani ◽  
Abdul Hanan Abdullah ◽  
Wan Haslina Hassan ◽  
Mohammad Hossein Anisi ◽  
Shidrokh Goudarzi ◽  
...  

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