2023
DOI: 10.1142/s0219649223500107
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An Enhanced Grey Wolf Optimisation–Deterministic Convolutional Neural Network (GWO–DCNN) Model-Based IDS in MANET

Abstract: At present, ensuring the security of MANET is a highly challenging chore due to the dynamic topology of the network. Hence, most of the existing Frameworks for Intrusion Detection Systems (IDS) seek to predict the attacks by utilising the clustering and classification mechanisms. Still, they face the major problems of reduced convergence speed, high error rate and increased complexity in the algorithm design. Therefore, this paper intends to utilise integrated optimisation and classification methods for accura… Show more

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Cited by 7 publications
(2 citation statements)
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References 18 publications
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“…The elliptical curve cryptography based sailfish optimization algorithm (ECC‐SFOA) was established by Shanmuganathan et al 15 to ensure secure communication in MANET through the selection of optimal private key. Prasanth et al 16 elaborated a principal component analysis based on GWO with a deterministic convolutional neural network (PCA‐GWO‐DCNN) for classifying intrusions in the MANET by selecting optimal features with higher fitness values.…”
Section: Related Workmentioning
confidence: 99%
“…The elliptical curve cryptography based sailfish optimization algorithm (ECC‐SFOA) was established by Shanmuganathan et al 15 to ensure secure communication in MANET through the selection of optimal private key. Prasanth et al 16 elaborated a principal component analysis based on GWO with a deterministic convolutional neural network (PCA‐GWO‐DCNN) for classifying intrusions in the MANET by selecting optimal features with higher fitness values.…”
Section: Related Workmentioning
confidence: 99%
“…Recently, researchers from various domains applied meta-heuristic algorithms to FS. Some of the recent works that used metaheuristic algorithms for FS in IDS are: Genetic Algorithm (GA) [7], Bat Optimization algorithm (BOA) [10], Particle Swarm Optimization (PSO) [8], Dragonfly Algorithm (DA) [11], Grey Wolf Optimization (GWO) [9], Firefly optimization (FFO) [12], whale optimization algorithm (WOA) [13] and Pigeon Inspired Optimizer (PIO) [14]. Among them, Alazzam et al [14] proposed a PIO to select the prominent features by eradicating the redundant features.…”
Section: Introductionmentioning
confidence: 99%