Performance Analysis of Black Hole Attack and Flooding Attack AODV Routing Protocol on VANET (Vehicular Ad-Hoc Network)

Fiade, Andrew; Triadi, Afie Yudha; Sulhi, Ahmad; Masruroh, Siti; Handayani, Velia; Suseno, Hendra Bayu

doi:10.1109/citsm50537.2020.9268789

Cited by 20 publications

(4 citation statements)

References 8 publications

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“…These bots will randomly generate packets of 5 MB to 25 MB to be sent to the target node. Furthermore, the Adhoc On-Demand Distance Vector (AODV) [26,27] routing protocol was employed to facilitate traffic routing. In NS-3, a channel connects a node, and in this simulation, the channel selected is a point-to-point channel.…”

Section: Figure 1 Simulation Processmentioning

confidence: 99%

Simulation of Vehicular Bots-Based DDoS Attacks in Connected Vehicles Networks

Abdul Razak,

Fang,

Kamis

et al. 2023

HighTech. Innov. J.

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Connected vehicles are more vulnerable to attacks than wired networks since they involve rapid mobility, continuous data flow across connected nodes, and dynamic network design in a distributed network environment. Distributed Denial of Service (DDOS) is one of the most common and dangerous security attacks on connected vehicle networks. Attackers can remotely control malicious nodes that are programmed to attack other nodes known. The compromised nodes are known as botnets, which will constantly flood the target nodes with User Datagram Protocol (UDP) packets, disrupting the target nodes data flow and operation. Hence, the goal of this research is to create and simulate a vehicular bot-based Distributed Denial of Service (DDoS) assault in connected vehicle networks. A simulation-based methodology is implemented to observe the impact of the number of bots, DDoS rate, and maximum bulk packet size on network performance. Using the NS-3 network simulator, 73 random mobile vehicle nodes with up to 100 vehicle bots were simulated, and the results are discussed. Regardless of the computational constraints, the findings from this study adds to understanding the risks and problems associated with data transmission by analyzing the impact of vehicular bot-based DDoS attacks on connected vehicle performance. Doi: 10.28991/HIJ-2023-04-04-014 Full Text: PDF

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Section: Figure 1 Simulation Processmentioning

confidence: 99%

Simulation of Vehicular Bots-Based DDoS Attacks in Connected Vehicles Networks

Abdul Razak,

Fang,

Kamis

et al. 2023

HighTech. Innov. J.

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“…Table 5 shows a comparison of the SBGM mechanism with other existing methodologies for detecting the black hole and gray hole attack against various comparison metrics. Since the SBGM mechanism is for dual attack mitigation (black and gray), similar existing solutions in the VANET scenario are limited [46]. Hence, existing schemes in MANET is considered for comparison.…”

Section: Complexity Analysis and Comparison Of Proposed Sbgm Mechanism With The Existing Solutions Against Black Hole And Gray Hole Attacmentioning

confidence: 99%

Detection and Mitigation of Smart Blackhole and Gray Hole Attacks in VANET Using Dynamic Time Warping

Krishnan

Kumar

2021

Wireless Pers Commun

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VANET topology is highly dynamic, wherein the vehicles frequently move across locations. Due to the continually changing topology and lack of security infrastructure, routing protocols in VANET are vulnerable to several attacks. In this paper, we focus on the black hole and the gray hole attacks due to its severity. In black hole and gray hole attacks, the attacker gains access to the wireless network and drops the received packets fully/ selectively that impacts on the safety applications of VANET. This paper presents a novel security approach called Smart Blackhole and Gray hole Mitigation (SBGM) to detect and mitigate both black hole and gray hole nodes in VANET using a time series analysis of the dropped packets of each node. The computation of the packet drop distance threshold based on Dynamic Time Warping improves the detection accuracy in SBGM. We assess the performance of SBGM using AODV and OLSR routing protocols under low-dense and high-dense traffic scenarios in terms of Packet Delivery Ratio, Throughput, Average Endto-End Delay, and Packet Drop percentage. From the experimental results, it is evident that the proposed SBGM outperforms the existing techniques in detecting the black and gray hole attacks. The proposed SBGM achieves a detection rate of 99.87% in highway scenarios and 99.68% in urban scenarios.

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“…Figure 1 describes the randomness of the nodes' movements, which often results in partitioning the network's connections. This primarily impacts the nodes in between [10] [11]. Compared to BGP, MANETs suffer from greater packet loss due to variables including concealed terminals that create wireless channel problems (high BER), collisions, frequent breaks, and interference in routes caused by node mobility [12][13] [14].…”

Section: Introductionmentioning

confidence: 99%

Comparison between Black Hole and Flooding Attack in Mobile Ad-hoc Network and their Simulation Study

Maamari¹,

Salih²

2022

IJRPR

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Mobile ad hoc network (MANET) is dynamic in nature and vulnerable for several attacks to be arising in it. Mobile nodes frequently disconnect and join the network; they can arbitrarily moves from one place to another. In present-day wireless communication scenario, Mobile ad hoc network (MANET) plays a very important role, as it consists of many autonomous nodes which communicate together to form a proper communication network. Each node in a network will move in random path, so that nodes direction will change frequently. This paper describes the features, application, flooding attack and black hole attack in the MANET implemented on AODV protocol. The simulation work is carried out in Network Simulator (NS2.34). The performance analysis is done Nodes with 20 to 60 nodes were used in the AODV routing protocol simulation to produce energy-efficient outcomes, with the flooding attacks and the interruption of blackhole attacks. The average delay, routing overhead, packet drop rate and packet delivery rate are calculated. By the simulation it has been evaluated that in flooding attack the routing overhead is more as compared to the black hole attack. A comparative study is also done on these parameters for all three scenarios. Also we simulated the attack in various wireless ad-hoc network scenarios and have tried to find a response system in simulations.

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Performance Analysis of Black Hole Attack and Flooding Attack AODV Routing Protocol on VANET (Vehicular Ad-Hoc Network)

Cited by 20 publications

References 8 publications

Simulation of Vehicular Bots-Based DDoS Attacks in Connected Vehicles Networks

Simulation of Vehicular Bots-Based DDoS Attacks in Connected Vehicles Networks

Detection and Mitigation of Smart Blackhole and Gray Hole Attacks in VANET Using Dynamic Time Warping

Comparison between Black Hole and Flooding Attack in Mobile Ad-hoc Network and their Simulation Study

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