An Adaptive Secure and Efficient Routing Protocol for Mobile Ad Hoc Networks

Tripathy, Bata Krishna; Jena, Swagat Kumar; Bera, Padmalochan; Das, Satyabrata

doi:10.1007/s11277-020-07423-x

Cited by 18 publications

(28 citation statements)

References 93 publications

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“…Tripathy [16] presented the CARP that dynamically configures the routing operations according to the network. Here, the routing protocol was configured based on the following parameters such as the contextual features, behavioural dynamics and varying requirements.…”

Section: Literature Surveymentioning

confidence: 99%

See 1 more Smart Citation

Ant Colony Optimization Based Modified AODV for Secure Routing in Mobile Ad Hoc Networks

2021

IJIES

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Section: Literature Surveymentioning

confidence: 99%

“…The performance of the MAODV-ACO method is analyzed as PDR, throughput, average end-to-end delay and overhead. Here, the MAODV-ACO method is compared with the CARP [16] and AODV-BA-DST [20] to justify the efficiency of the MAODV-ACO method. The performance analysis is described as follows:…”

Section: Performance Analysismentioning

confidence: 99%

Ant Colony Optimization Based Modified AODV for Secure Routing in Mobile Ad Hoc Networks

2021

IJIES

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“…Step Very Poor (VP) [1,3] Poor (P) [3,4] Medium Poor (MP) [4,5] Medium (M) [5,6] Medium Good (MG) [6,9] Good (G) [9,10] Very Good (VG)…”

Section: Decision On Trustmentioning

confidence: 99%

“…On the other hand, indirect interaction represents the method of determining the behavior of mobile nodes through their neighbours which are cooperating with them for a specific amount of time. Thus, the cooperation degree among the mobile nodes needs to be sustained through potential mitigation of malicious and selfish mobile nodes in the network with maximized optimality [10]. From the recent decades, a diversified number of cooperation enforcing approaches based on acknowledgement, probabilistic distribution-based trust and reputation, watchdog and game theory were contributed in the literature for potential mitigation of malicious nodes.…”

Section: Introductionmentioning

confidence: 99%

Gaussian Trust Factor-based Grey Decision Making Technique (GTF-GDMT) for Node Cooperation Enforcement in MANETs

Sirisala¹,

Krishna²

2021

IJIES

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The successful routing in Mobile Ad hoc Networks (MANETs) completely depends on the cooperation established between the mobile nodes during data dissemination. The resource constraint feature of mobile nodes is the main reason behind its non-cooperativeness attributed towards other interacting nodes of the network. This degree of non-cooperation rendered by the mobile node disturbs the routing and degrades the network performance. Thus, a node cooperation enforcing approach that distinguishes genuine node from malicious node is essential for sustaining the network performance. In this paper, Gaussian Trust Factor-based Grey Decision-Making Technique (GTF-GDMT) is proposed for maintaining the network performance independent to the influence of non-cooperative malicious nodes. This proposed GTF-GDMT identified the malicious nodes based on the trust factor that integrates the parameters of link stability and node reputation determined through direct and indirect monitoring process. This computation of trust is achieved using the Gaussian probabilistic distribution model that utilizes multi-perspective parameters that forms the input to the decision-making process. It is proposed for attaining the trade-off between energy consumption, transmission performance and security. The simulation experiments of the proposed GTF-GDMT conducted using ns-2 portrayed its excellence over the baseline schemes in terms of throughput, packet delivery rate, packet delay, energy consumptions and packet drop independent to the number of mobile nodes and malicious nodes in the network.

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“…The other Cuckoo search and M-tree-based approach were proposed by Babu and Ussenaiah (14) to enhance the Adhoc network's performance. The other heuristic and metaheuristic approaches based on an optimization algorithm were developed by several researchers (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28) that optimize the network's performance and provide a secure communication environment.…”

Section: Related Workmentioning

confidence: 99%

MOpt Shield: An Intrusion Detection System based on Meld Optimization Algorithm to mitigate Amalgam Attacks

Kaur¹,

nbsp²,

nbsp³

et al. 2021

IJST

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Background/Objectives: To mitigate network from amalgam attacks, this study is focussed on designing an efficient approach that can prevent the networks from intruders and secure the communication. Methods: A crossbreed approach, named 'MOpt Shield,' is proposed in this study. This proposed protocol utilizes the efficacy of the existing Cuckoo Search and Firefly Optimization Algorithm on basic AODV protocol along with the promising factors of the Intrusion Detection System. The proposed protocol is simulated using an NS-2 simulator with two different simulation scenarios, and PDR, Throughput, PLR, and Delay parameters are considered performance measures for the same. Findings: The proposed protocol finds the best selected nodes for communication and prepare separate list for the doubted nodes which further analyzed for attacker or non-attacker nodes. This will help to identify the best path with high energy and other capabilities for the efficient transmission of data. The performance of this proposed protocol is analyzed under 5 attacker nodes in which 2 are blackhole and 3 are DoS attacker nodes. For simulation, the scenario includes minimum 5 connections and maximum 25 connections between the 50 nodes with CBR traffic and 20m/s speed. The evaluated results show the astounding performance of the proposed protocol over the other existed protocols in terms of PDR, Throughput and Delay, and hence it reveals its capabilities. Novelty/Applications: The proposed protocol effectively handles the amalgam attacks and its novelty lie in its features of hybrid optimization and intrusion detection approach to find the route of transmission and the trusty nodes.

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An Adaptive Secure and Efficient Routing Protocol for Mobile Ad Hoc Networks

Cited by 18 publications

References 93 publications

Ant Colony Optimization Based Modified AODV for Secure Routing in Mobile Ad Hoc Networks

Ant Colony Optimization Based Modified AODV for Secure Routing in Mobile Ad Hoc Networks

Gaussian Trust Factor-based Grey Decision Making Technique (GTF-GDMT) for Node Cooperation Enforcement in MANETs

MOpt Shield: An Intrusion Detection System based on Meld Optimization Algorithm to mitigate Amalgam Attacks

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