Malicious node and malicious observer node detection system in MANETs

Devi, S Durga; Devi, Dhamotharan Rukmani

doi:10.1002/cpe.5241

Cited by 7 publications

(2 citation statements)

References 26 publications

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“…Durga Devi and Rukmani Devi 21 have proposed malicious observer node detection system (MODS) that employs context‐free grammar (CFG) for isolating malevolent nodes and Fibonacci–Pascal triangle (FPT) schemes to hide real data of nodes in MANETs. The route is secured from mobile observer nodes by distributing a secret to the destination.…”

Section: Related Workmentioning

confidence: 99%

Z number improved reference ideal method‐based decision‐making process for enforcing cooperation during data dissemination in mobile ad hoc networks

Mylsamy¹,

Jayaprakash²

2023

Int J Communication

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Summary In mobile ad hoc networks (MANETs), cooperative communication and resource constraint are the two important core characteristics essential to guarantee trusted data dissemination. The cooperative communication between mobile nodes depends on the trust rendered by them towards the process of reliable data routing. However, stringent resource constraints of mobile nodes such as energy, memory, communications, and computations result in the introduction of selfish and malicious node that completely degrades the network performance in different dimensions. In this paper, Z number improved reference ideal method (RIM)‐based decision‐making process (NIRIMDMP) is proposed with the merits of maximizing deviation method (MDM) and best–worst method (BWM) to ensure reliable data routing by modeling the cooperation degree in terms of Z number. This NIRIMDMP adopted Z number to represent the information reliability and handle the problem of inherent uncertainty during the process of evaluating each mobile node in the routing process. In specific, MDM and BWM are included into the proposed NIRIMDMP to determine comprehensive attribute weights based on the calculated objective and subjective weights that could be possible derived in routing. It extended the merits of classical RIM using Z numbers to confirm reliable ranking of mobile nodes, even when the optimal solution exists amid extreme values taken into consideration for assessing the mobile nodes during decision making. Simulation investigations of the proposed NIRIMDMP confirmed improved throughput and network lifetime with reduced control overhead, energy consumptions, and delay independent of the amount of malicious and non‐cooperative nodes.

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Section: Related Workmentioning

confidence: 99%

Z number improved reference ideal method‐based decision‐making process for enforcing cooperation during data dissemination in mobile ad hoc networks

Mylsamy¹,

Jayaprakash²

2023

Int J Communication

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“…A Fibonacci–Pascal triangle and context‐free grammar (CFG)‐based trust cooperation model is proposed for better reliable data dissemination 25 . In this trust model, Fibonacci‐Pascal triangle is used for concealing real information related to mobile nodes.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy preference ranking organization method for enrichment evaluation‐based node cooperation technique for improving QoS in MANETs

Mylsamy¹,

Jayaprakash²

2022

Int J Communication

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Summary Cooperation between mobile nodes is the predominant factor required for achieving reliable data dissemination in mobile ad hoc networks (MANETs), since non‐cooperative nodes crumbles the routing process and degrades network performance. The degree of non‐cooperation rendered by mobile nodes need to be accurately identified by exploring feasible and comprehensive number of criteria to achieve maximized cooperation in uncertain MANET. In this paper, fuzzy preference ranking organization method for enrichment evaluation (FPROMETHEE)‐based node cooperation technique is proposed with the merits of trapezoidal fuzzy interval numbers that aids in the selection of high trustworthy mobile nodes for attaining maximized data delivery. This FPROMETHEE technique utilizes complex and multiple criteria for potential ranking in the presence of finite number of mobile nodes. It prevented the bias of information that is more common during the judgmental process associated with the cooperation estimation of mobile nodes. It includes information about the relative weights of criteria and decision maker's preferences for estimating the trust of mobile nodes to include or isolate them from the routing path. It is also useful in handling the degree of uncertainly involved in the process of routing without compromising Quality of Service (QoS) level in the network. The simulation experiments of the proposed FPROMETHEE technique conducted using ns‐2 simulator confirmed its predominance in enhancing the packet dissemination rate, throughput, energy consumptions, total overhead, and packet loss rate for different number of mobile nodes, malicious nodes, and pairs of source and destination nodes.

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Hybrid Acknowledgment Scheme for Early Malicious Node Detection in Wireless Sensor Networks

Roshini

Kiran

Anudeep

2021

Advances in Intelligent Systems and Computing

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Malicious node and malicious observer node detection system in MANETs

Cited by 7 publications

References 26 publications

Z number improved reference ideal method‐based decision‐making process for enforcing cooperation during data dissemination in mobile ad hoc networks

Z number improved reference ideal method‐based decision‐making process for enforcing cooperation during data dissemination in mobile ad hoc networks

Fuzzy preference ranking organization method for enrichment evaluation‐based node cooperation technique for improving QoS in MANETs

Hybrid Acknowledgment Scheme for Early Malicious Node Detection in Wireless Sensor Networks

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