Epilson Swarm Optimized Cluster Gradient and deep belief classifier for multi-attack intrusion detection in MANET

Dilipkumar, Shilpa; Durairaj, M.

doi:10.1007/s12652-021-03169-x

Cited by 9 publications

(8 citation statements)

References 18 publications

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“…A CEGS-GDBC classifier or multi-attack intrusion detection was suggested. 24 In order to develop a clustering method for CH election in MANET that was motivated by Dual Network Centrality, the study focuses on the problems of energy and node mobility. Epilson Greedy Swarm Optimization was used for compact cluster building.…”

Section: Related Workmentioning

confidence: 99%

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Weighted cluster in mobile ad hoc network using enhanced long short‐term memory‐based squid game optimizer concept

Udhayamoorthi,

Prabakar,

Karthikeyan

2024

Int J Communication

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SummaryA collection of autonomous frameworks will most likely make up a wireless mobile network. They are not solely dependent on a wireless network with no established infrastructure. In the mobile ad hoc network, it is highly challenging to safeguard the viability of the cluster head (CH) within a cluster; therefore, this research provides a big scope for routing utilizing enhanced long short‐term memory–squid game optimizer (ELSTM‐SGO). The quality of service attribute of the nodes determines which CH is chosen within them. How long the CH will hold will depend on the weight applied to it. The best CH is chosen using an ELSTM‐SGO routing method within a cluster, and the best CH will improve the routing. The three procedures that make up the developed ELSTM‐SGO protocol are SGO, CH selection, and cluster's gateway. The wireless system's energy consumption, buffer size, packet delivery ratio, routing overhead and end‐to‐end delay throughput represent the characteristics used in the suggested approach. Weighted clustering approach is evaluated on the system. According to the results of the experimental research, ELSTM‐SGO yields superior results for preserving the resiliency of the CH.

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Section: Related Workmentioning

confidence: 99%

“…Hence, the below equation may be used to determine the distance e l,i among node l and CH i at the start of round q. Provided deterministic y l 0 ð Þ, z l 0 ð Þ, t l u ð Þ, and θ l u ð Þ, e l,i may be derived in a recursive way by considering ( 22)-( 23) into (24).…”

Section: Average Pdr Analysismentioning

confidence: 99%

Weighted cluster in mobile ad hoc network using enhanced long short‐term memory‐based squid game optimizer concept

Udhayamoorthi,

Prabakar,

Karthikeyan

2024

Int J Communication

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“…The disadvantage of this method is that the process mainly depends on each classifier model. 40 To provide trust efficient information in an infrastructure-less environment CREDIT-BASED secure scheme is evaluated. It includes the specific characteristics and features of attacking nodes.…”

Section: Related Workmentioning

confidence: 99%

“…By researching all these methods we identify that there is a problem of unsecure routing in MANET which is not analyzed accurately and it access low delivery ratio of packets and increase the delay time of end-end detection. 40,41,44 Therefore, in this proposed framework, we provide some advanced techniques and trust detection strategies to overcome the insecurity problem and prefer a trusted reliable routing in MANET. Loss of some information between source node and destination node.…”

Section: Related Workmentioning

confidence: 99%

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Improving routing disruption attack detection in MANETs using efficient trust establishment

Yamini

Stephy

Suthendran

et al. 2022

Trans Emerging Tel Tech

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Security is a fundamental prerequisite in self-evolvability network and providing that in any situation is the most problematic task as the network is highly dynamic with no trusted centralized monitoring. On comparing with wired networks MANETs are highly susceptible to security attacks. This article proposed an efficient trust establishment-based routing evidence scheme (ETERE) that carried out in the creation and manipulation of mental representations of information identified. Here, propose I-Trust, probabilistic node misbehavior detection, for secure MANET routing toward ETERE scheme. The fundamental concept of I-Trust is presenting a periodically accessible trusted authority to pass judgment on the behavior of a node dependent on the gathered routing evidences and with self and coordinate monitoring. The main advantage of ETERE scheme is that even if the hackers or the internal attackers have the knowledge of the security scheme, the system cannot be compromised. The performance of ETERE scheme with different routing disturbance attacks is evaluated in this article. The computational outcomes emphasize the effectiveness of ETERE scheme and ensure the routing efficiency. The NS2 simulator is used in this research work. The simulation results show that the proposed ETERE scheme performs better than present methodologies improving the PDR and throughput of the network to a maximum extent of 28% and 34% respectively.

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Crossover Boosted Grey Wolf Optimizer‐based framework for leader election and resource allocation in Intrusion Detection Systems for MANETs

Selvaraj,

Nanjappan,

Nagalingam

et al. 2024

Trans Emerging Tel Tech

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Mobile Ad hoc Networks (MANETs) is a self‐organizing networks without having a fixed infrastructure for making them susceptible to security threats. Intrusion Detection Systems (IDS) promotes security in MANETs by identifying malicious activities. Leader election is a fundamental aspect of IDS deployment, impacting resource allocation and system efficiency. This article presents a novel approach, the Crossover Boosted Grey Wolf Optimizer (CBGWO), for leader election and resource allocation in MANET‐based IDS. The proposed CBGWO algorithm integrates the Grey Wolf Optimizer (GWO) with innovative crossover operators that have an ability to enhance the capabilities of exploration and exploitation in the optimization process. The leader election problem is solved through applying multi‐objective optimization by considering energy consumption, reputation, and communication overhead. Objective functions are defined to maximize energy efficiency while maintaining a balanced distribution of leadership roles. Extensive simulations are conducted, varying network densities and the percentage of selfish nodes. Results demonstrate the effectiveness of the CBGWO‐based model in balancing energy consumption, prolonging network lifespan, and enhancing intrusion detection by comparing different state‐of‐the‐art models such as PCA‐FELM, CTAA‐MPSO, FLS‐RE, LEACH, DCAIDS, WOA‐GA, and VOELA. The proposed model achieved an energy consumption of 4.31 J, network lifetime of 560.482 ms, and average intrusion detection latency of 0.12 s, respectively. The proposed model outperforms than existing random and connectivity‐based leader election methods that is evaluated by taking main consideration of energy efficiency and network survivability. This research contributes to the field by introducing a robust algorithm for leader election in MANET‐based IDS, addressing challenges posed by network dynamics and resource constraints. The CBGWO‐based approach showcases its potential to achieve effective leader election and efficient resource allocation, thereby enhancing the security and sustainability of MANETs.

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Epilson Swarm Optimized Cluster Gradient and deep belief classifier for multi-attack intrusion detection in MANET

Cited by 9 publications

References 18 publications

Weighted cluster in mobile ad hoc network using enhanced long short‐term memory‐based squid game optimizer concept

Weighted cluster in mobile ad hoc network using enhanced long short‐term memory‐based squid game optimizer concept

Improving routing disruption attack detection in MANETs using efficient trust establishment

Crossover Boosted Grey Wolf Optimizer‐based framework for leader election and resource allocation in Intrusion Detection Systems for MANETs

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