Performance analysis of routing protocols under different types of attacks in MANETs

Prashar, Lakshit; Kapur, Raj Kamal

doi:10.1109/icrito.2016.7784989

Cited by 11 publications

(3 citation statements)

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“…The limitation of this system is that it feeds a false request to the network, which can prompt clogging in the organization. In [19], the suggested framework relies upon an uncommon kind of nodes called monitor nodes, which help distinguish dark opening nodes in the organization. Gatekeeper nodes check the behavior of nodes in the organization.…”

Section: Related Workmentioning

confidence: 99%

Timer Entrenched Baited Scheme to Locate and Remove Attacks in MANET

Padmapriya¹,

Shankar²,

Thiagarajan³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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The Mobile Ad-hoc Network (MANET) is a dynamic topology that provides a variety of executions in various disciplines. The most sticky topic in organizational fields was MANET protection. MANET is helpless against various threats that affect its usability and accessibility. The dark opening assault is considered one of the most far-reaching dynamic assaults that deteriorate the organization's execution and reliability by dropping all approaching packages via the noxious node. The Dark Opening Node aims to deceive any node in the company that wishes to connect to another node by pretending to get the most delicate ability to support the target node. Ad-hoc On-demand Distance Vector (AODV) is a responsive steering convention with no corporate techniques to locate and destroy the dark opening center. We improved AODV by incorporating a novel compact method for detecting and isolating lonely and collaborative black-hole threats that utilize clocks and baits. The recommended method allows MANET nodes to discover and segregate black-hole network nodes over dynamic changes in the network topology. We implement the suggested method's performance with the help of Network Simulator (NS)-3 simulation models. Furthermore, the proposed approach comes exceptionally near to the original AODV, absent black holes in terms of bandwidth, end-to-end latency, error rate, and delivery ratio.

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Section: Related Workmentioning

confidence: 99%

Timer Entrenched Baited Scheme to Locate and Remove Attacks in MANET

Padmapriya¹,

Shankar²,

Thiagarajan³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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“…3.2 End-to-End delay: It refers to the average time taken by data packets in successfully transmitting messages across the network from source to destination [9]. It includes different types of delays, like queuing at interface queue; retransmission delays; and buffering during the time of route discovery process.…”

Section: Performance Metricsmentioning

confidence: 99%

Efficient Energy Consumption in Ad hoc Network using AOMDV-FF

Prabavathi¹,

Kavitha²,

Sribarkavi³

2019

IJANA

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In this paper we are going to analyze the energy consumption in MANET by applying the fitness function to optimize the energy consumption in ad hoc on demand multipath distance vector (AOMDV) routing protocol. The proposed protocol is AOMDV with the fitness function (FF-AOMDV). The fitness function is mainly used to find the optimal path from source node to destination node to reduce the energy consumption in multipath routing. The performance of FF-AOMDV protocol has been evaluated by using network simulator version 2, where the performance is compared with optimized link state routing (OLSR) and AOMDV protocol.

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“…After receiving a RREP source node starts to send packets to the destination node. In [6], the performance of the reactive routing protocol under different types of attacks has been studied. They found that the performance decreases upon attacks especially the black-hole attack in terms of Packet Delivery Ratio (PDR) and Throughput.…”

Section: Aodvmentioning

confidence: 99%

Detecting and Isolating Black‐Hole Attacks in MANET Using Timer Based Baited Technique

Yasin

Zant

2018

Wireless Communications and Mobile Computing

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Mobile Ad hoc Network (MANET) is a type of wireless networks that provides numerous applications in different areas. Security of MANET had become one of the hottest topics in networks fields. MANET is vulnerable to different types of attacks that affect its functionality and connectivity. The black-hole attack is considered one of the most widespread active attacks that degrade the performance and reliability of the network as a result of dropping all incoming packets by the malicious node. Black-hole node aims to fool every node in the network that wants to communicate with another node by pretending that it always has the best path to the destination node. AODV is a reactive routing protocol that has no techniques to detect and neutralize the black-hole node in the network. In this research, we enhanced AODV by integrating a new lightweight technique that uses timers and baiting in order to detect and isolate single and cooperative black-hole attacks. During the dynamic topology changing the suggested technique enables the MANET nodes to detect and isolate the black-hole nodes in the network. The implementation of the proposed technique is performed by using NS-2.35 simulation tools. The results of the suggested technique in terms of Throughput, End-to-End Delay, and Packet Delivery Ratio are very close to the native AODV without black holes.

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Performance analysis of routing protocols under different types of attacks in MANETs

Cited by 11 publications

References 1 publication

Timer Entrenched Baited Scheme to Locate and Remove Attacks in MANET

Timer Entrenched Baited Scheme to Locate and Remove Attacks in MANET

Efficient Energy Consumption in Ad hoc Network using AOMDV-FF

Detecting and Isolating Black‐Hole Attacks in MANET Using Timer Based Baited Technique

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