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2020-12-28
Temurnikar, A., Verma, P., Choudhary, J..  2020.  Securing Vehicular Adhoc Network against Malicious Vehicles using Advanced Clustering Technique. 2nd International Conference on Data, Engineering and Applications (IDEA). :1—9.

VANET is one of most emerging and unique topics among the scientist and researcher. Due to its mobility, high dynamic nature and frequently changing topology not predictable, mobility attracts too much to researchers academic and industry person. In this paper, characteristics of VANET ate discussed along with its architecture, proposed work and its ends simulation with results. There are many nodes in VANET and to avoid the load on every node, clustering is applied in VANET. VANET possess the high dynamic network having continuous changing in the topology. For stability of network, a good clustering algorithm is required for enhancing the network productivity. In proposed work, a novel approach has been proposed to make cluster in VANET network and detect malicious node of network for security network.

Makarfi, A. U., Rabie, K. M., Kaiwartya, O., Li, X., Kharel, R..  2020.  Physical Layer Security in Vehicular Networks with Reconfigurable Intelligent Surfaces. 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring). :1—6.

This paper studies the physical layer security (PLS) of a vehicular network employing a reconfigurable intelligent surface (RIS). RIS technologies are emerging as an important paradigm for the realisation of smart radio environments, where large numbers of small, low-cost and passive elements, reflect the incident signal with an adjustable phase shift without requiring a dedicated energy source. Inspired by the promising potential of RIS-based transmission, we investigate two vehicular network system models: One with vehicle-to-vehicle communication with the source employing a RIS-based access point, and the other model in the form of a vehicular adhoc network (VANET), with a RIS-based relay deployed on a building. Both models assume the presence of an eavesdropper to investigate the average secrecy capacity of the considered systems. Monte-Carlo simulations are provided throughout to validate the results. The results show that performance of the system in terms of the secrecy capacity is affected by the location of the RIS-relay and the number of RIS cells. The effect of other system parameters such as source power and eavesdropper distances are also studied.

2020-10-29
Kumar, Sushil, Mann, Kulwinder Singh.  2019.  Prevention of DoS Attacks by Detection of Multiple Malicious Nodes in VANETs. 2019 International Conference on Automation, Computational and Technology Management (ICACTM). :89—94.

Vehicular Adhoc Network (VANET), a specialized form of MANET in which safety is the major concern as critical information related to driver's safety and assistance need to be disseminated between the vehicle nodes. The security of the nodes can be increased, if the network availability is increased. The availability of the network is decreased, if there is Denial of Service Attacks (DoS) in the network. In this paper, a packet detection algorithm for the prevention of DoS attacks is proposed. This algorithm will be able to detect the multiple malicious nodes in the network which are sending irrelevant packets to jam the network and that will eventually stop the network to send the safety messages. The proposed algorithm was simulated in NS-2 and the quantitative values of packet delivery ratio, packet loss ratio, network throughput proves that the proposed algorithm enhance the security of the network by detecting the DoS attack well in time.