Design and Development of Secured Framework for Efficient Routing in Vehicular Ad-Hoc Network

2019 ◽  
Vol 15 (2) ◽  
pp. 55-72 ◽  
Author(s):  
Mamata Rath ◽  
Bibudhendu Pati ◽  
Binod Kumar Pattanayak
Keyword(s):  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Denial Of Service ◽  
Dynamic Network ◽  
High Mobility ◽  
Delivery Ratio ◽  
Denial Of Service Attack ◽  
Service Attack ◽  
Hoc Networks ◽  
Smart Traffic

Due to many challenging issues in vehicular ad-hoc networks (VANETs), such as high mobility and network instability, this has led to insecurity and vulnerability to attacks. Due to dynamic network topology changes and frequent network re-configuration, security is a major target in VANET research domains. VANETs have gained significant attention in the current wireless network scenario, due to their exclusive characteristics which are different from other wireless networks such as rapid link failure and high vehicle mobility. In this are, the authors present a Secured and Safety Protocol for VANET (STVAN), as an intelligent Ad-Hoc On Demand Distance Vector (AODV)-based routing mechanism that prevents the Denial of Service attack (DoS) and improves the quality of service for secured communications in a VANET. In order to build a STVAN, the authors have considered a smart traffic environment in a smart city and introduced the concept of load balancing over VANET vehicles in a best effort manner. Simulation results reveal that the proposed STVAN accomplishes enhanced performance when compared with other similar protocols in terms of reduced delay, better packet delivery ratio, reasonable energy efficiency, increased network throughput and decreased data drop compared to other similar approach.

Design and Development of Secured Framework for Efficient Routing in Vehicular Ad-Hoc Network

2021 ◽  
pp. 615-633
Author(s):  
Mamata Rath ◽  
Bibudhendu Pati ◽  
Binod Kumar Pattanayak
Keyword(s):  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Denial Of Service ◽  
Dynamic Network ◽  
High Mobility ◽  
Delivery Ratio ◽  
Denial Of Service Attack ◽  
Service Attack ◽  
Hoc Networks ◽  
Smart Traffic

Due to many challenging issues in vehicular ad-hoc networks (VANETs), such as high mobility and network instability, this has led to insecurity and vulnerability to attacks. Due to dynamic network topology changes and frequent network re-configuration, security is a major target in VANET research domains. VANETs have gained significant attention in the current wireless network scenario, due to their exclusive characteristics which are different from other wireless networks such as rapid link failure and high vehicle mobility. In this are, the authors present a Secured and Safety Protocol for VANET (STVAN), as an intelligent Ad-Hoc On Demand Distance Vector (AODV)-based routing mechanism that prevents the Denial of Service attack (DoS) and improves the quality of service for secured communications in a VANET. In order to build a STVAN, the authors have considered a smart traffic environment in a smart city and introduced the concept of load balancing over VANET vehicles in a best effort manner. Simulation results reveal that the proposed STVAN accomplishes enhanced performance when compared with other similar protocols in terms of reduced delay, better packet delivery ratio, reasonable energy efficiency, increased network throughput and decreased data drop compared to other similar approach.

scholarly journals SECURITY STUDY OF ROUTING ATTACKS IN VEHICULAR AD-HOC NETWORKS (AUTONOMOUS CAR)

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 349-353
Author(s):  
S. Lahdya ◽  
T. Mazri
Keyword(s):  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Denial Of Service ◽  
The Road ◽  
Denial Of Service Attack ◽  
Autonomous Cars ◽  
Service Attack ◽  
On The Road ◽  
Hoc Networks ◽  
The Impact

Abstract. For the past twenty years, the automotive industry and research organizations have been aiming to put fully autonomous cars on the road. These cars which can be driven without the intervention of a driver, use several sensors and artificial intelligence technologies simultaneously, which allow them to detect the environment in order to merge the information obtained to analyze it, decide on an action, and to implement it. Thus, we are at the dawn of a revolution in the world of transport and mobility, which leads us to ensure the movement of the autonomous car in a safe manner. In this paper, we examine certain attacks on autonomous cars such as the denial of service attack, as well as the impact of these attacks on the last two levels of vehicle autonomy.

scholarly journals Design and Efficient Network Investigation of Passive Periodic Drop Attack

2021 ◽  
Vol 13 (0203) ◽  
pp. 110-116
Author(s):  
Sunil Kumar ◽  
Maninder Singh
Keyword(s):  
Network Performance ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Denial Of Service ◽  
High Mobility ◽  
Network Simulator ◽  
Denial Of Service Attack ◽  
Drop Attack ◽  
Service Attack ◽  
The Impact

A Mobile Ad Hoc Network (MANET) is much more vulnerable to various security attacks due to its high mobility, multi-hop communication and the absence of centralized administration. In this paper, we investigate the impact of Jellyfish periodic dropping attack on MANETs under different routing protocols. This investigate is under the class of denial-of-service attack and targets closed loop flows which results in delay and data loss. In this paper, the simulation results are gathered using OPNET network simulator and its effect on network performance is studied by analysing re-transmission attempts, network load and throughput. The results have shown that the impact of Jellyfish periodic dropping attack which reduces the network performance. Performance shows OLSR performs better than AODV under periodic drop attack.

scholarly journals Efficient RSU Selection Approaches for Load Balancing in Vehicular Ad Hoc Networks

2020 ◽  
Vol 5 (1) ◽  
pp. 56-63
Author(s):  
Chi-Fu Huang ◽  
Jyun-Hao Jhang
Keyword(s):  
Wireless Communication ◽  
Load Balancing ◽  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
High Mobility ◽  
Communication Technologies ◽  
Delivery Ratio ◽  
Entry Points ◽  
Hoc Networks

Due to advances in wireless communication technologies, wireless transmissions gradually replace traditional wired data transmissions. In recent years, vehicles on the move can also enjoy the convenience of wireless communication technologies by assisting each other in message exchange and form an interconnecting network, namely Vehicular Ad Hoc Networks (VANETs). In a VANET, each vehicle is capable of communicating with nearby vehicles and accessing information provided by the network. There are two basic communication models in VANETs, V2V and V2I. Vehicles equipped with wireless transceiver can communicate with other vehicles (V2V) or roadside units (RSUs) (V2I). RSUs acting as gateways are entry points to the Internet for vehicles. Naturally, vehicles tend to choose nearby RSUs as serving gateways. However, due to uneven density distribution and high mobility nature of vehicles, load imbalance of RSUs can happen. In this paper, we study the RSU load-balancing problem and propose two solutions. In the first solution, the whole network is divided into sub-regions based on RSUs’ locations. A RSU provides Internet access for vehicles in its sub-region and the boundaries between sub-regions change dynamically to adopt to load migration. In the second solution, vehicles choose their serving RSUs distributedly by taking their future trajectories and RSUs’ loading information into considerations. From simulation results, the proposed methods can improve packet delivery ratio, packet delay, and load balance among RSUs.

scholarly journals Q-LBR: Q-Learning Based Load Balancing Routing for UAV-Assisted VANET

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5685
Author(s):  
Bong-Soo Roh ◽  
Myoung-Hun Han ◽  
Jae-Hyun Ham ◽  
Ki-Il Kim
Keyword(s):  
Load Balancing ◽  
Traffic Congestion ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Control Function ◽  
Dynamic Network ◽  
Relay Node ◽  
Delivery Ratio ◽  
Q Learning ◽  
Hoc Networks

Although various unmanned aerial vehicle (UAV)-assisted routing protocols have been proposed for vehicular ad hoc networks, few studies have investigated load balancing algorithms to accommodate future traffic growth and deal with complex dynamic network environments simultaneously. In particular, owing to the extended coverage and clear line-of-sight relay link on a UAV relay node (URN), the possibility of a bottleneck link is high. To prevent problems caused by traffic congestion, we propose Q-learning based load balancing routing (Q-LBR) through a combination of three key techniques, namely, a low-overhead technique for estimating the network load through the queue status obtained from each ground vehicular node by the URN, a load balancing scheme based on Q-learning and a reward control function for rapid convergence of Q-learning. Through diverse simulations, we demonstrate that Q-LBR improves the packet delivery ratio, network utilization and latency by more than 8, 28 and 30%, respectively, compared to the existing protocol.

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