Blackhole Attack Detection Using Machine Learning Approach on MANET

Pandey, Shweta; Singh, V. B.

doi:10.1109/icesc48915.2020.9155770

Cited by 18 publications

(15 citation statements)

References 12 publications

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“…Figure 9 shows the graph obtained from the results of the average throughput. It can be seen that, as expected, the average network throughput of the proposed method is better than the normal condition (no black hole attack) and also better than other methods in [38][39][40][41]. As shown in Figure 9, the network throughput of the proposed method in the presence of a malicious node is higher than normal conditions in all cases except 40 nodes.…”

Section: Thsupporting

confidence: 66%

“…en, the results of the proposed method are compared with the results of the trust based technique [38], three-layered ANN for classification and SVM as the supervised learning model [39], neurofuzzy inference system (ANFIS), particle swarm optimization (PSO) [40], and fuzzy trust approach to detect black hole attack based on a certificate authority, energy auditing, packet veracity check, and trust node to improve the performance of AODV [41]. Finally, the results will be discussed and analyzed.…”

Section: Simulationmentioning

confidence: 99%

“…As it is clear, the PDR of the proposed method is very close to the normal condition. Also, the PDR of the network during the black hole attack is very less than the usage of the other methods [38][39][40][41].…”

Section: Pdrmentioning

confidence: 99%

“…Discussion. In this section, to evaluate the proposed method, the results are compared with other methods in [38][39][40][41].…”

Section: Nrlmentioning

confidence: 99%

“…Reference [39] uses the three-layered ANN for classification and SVM as the supervised learning model. e simulation results of the proposed method show that usage of the KNN algorithm for clustering and beta distribution, Josang mental logic, and fuzzy inference for calculation of node trust will perform better black hole attack detection in the network.…”

Section: Nrlmentioning

confidence: 99%

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Black Hole Attack Detection Using K-Nearest Neighbor Algorithm and Reputation Calculation in Mobile Ad Hoc Networks

Farahani

2021

Security and Communication Networks

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The characteristics of the mobile ad hoc network (MANET), such as no need for infrastructure, high speed in setting up the network, and no need for centralized management, have led to the increased popularity and application of this network in various fields. Security is one of the essential aspects of MANETs. Intrusion detection systems (IDSs) are one of the solutions used to ensure security in this network. Clustering-based IDSs are very popular in this network due to their features, such as proper scalability. This paper proposes a new algorithm in MANETs to detect black hole attack using the K-nearest neighbor (KNN) algorithm for clustering and fuzzy inference for selecting the cluster head. With the use of beta distribution and Josang mental logic, the trust of each node will be calculated. According to the reputation and remaining energy, fuzzy inference will select the cluster head. Finally, the trust server checks the destination node. If allowed, it notifies the cluster head; otherwise, it detects the node as a malicious node in the black hole attack in each cluster. The simulation results show that the proposed method has improved the packet loss rate, throughput, packet delivery ratio, total network delay, and normalized routing load parameters compared with recent black hole detection methods.

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Section: Thsupporting

confidence: 66%

Section: Simulationmentioning

confidence: 99%

Section: Pdrmentioning

confidence: 99%

“…Discussion. In this section, to evaluate the proposed method, the results are compared with other methods in [38][39][40][41].…”

Section: Nrlmentioning

confidence: 99%

Section: Nrlmentioning

confidence: 99%

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Black Hole Attack Detection Using K-Nearest Neighbor Algorithm and Reputation Calculation in Mobile Ad Hoc Networks

Farahani

2021

Security and Communication Networks

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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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Securing Data Conveyance for Dynamic Source Routing Protocol by Using SDSR-ANNETG Technique

Zarzoor,

Abbas

2023

Machine Intelligence for Smart Applications

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Blackhole Attack Detection Using Machine Learning Approach on MANET

Cited by 18 publications

References 12 publications

Black Hole Attack Detection Using K-Nearest Neighbor Algorithm and Reputation Calculation in Mobile Ad Hoc Networks

Black Hole Attack Detection Using K-Nearest Neighbor Algorithm and Reputation Calculation in Mobile Ad Hoc Networks

Improving routing disruption attack detection in MANETs using efficient trust establishment

Securing Data Conveyance for Dynamic Source Routing Protocol by Using SDSR-ANNETG Technique

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