A comprehensive review on detection of wormhole attack in MANET

Jangir, Sunil Kumar; Hemrajani, Naveen

doi:10.1109/ictbig.2016.7892688

Cited by 8 publications

(5 citation statements)

References 33 publications

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“…It is hard to state that one arrangement is appropriate in all circumstances. However, utilizing various methodologies anticipated in [22], a more grounded discovery system can be conceived for forestalling wormhole attack in systems.…”

Section: Related Workmentioning

confidence: 99%

E-CREDND Scheme for Detection of malevolent nodes in Ad-hoc Network

Shilpi¹,

Rizvi²

2018

ICST Transactions on Mobile Communications and Applications

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The remote network that comprises of multipurpose nodes and is infrastructure-less in nature is mobile ad-hoc network (MANET). It powerfully self-composes in subjective and impermanent system topologies. These moveable ad-hoc systems are dishonest and powerless to any interruption in light of their remote association approach. Subsequently, the data from these systems can be stolen effectively just by presenting the aggressor nodes in the system. The hop count metric is calculated to determine the straight route degree. For this reason, directing conventions are arranged. Among all the potential assaults on MANET, identification of wormhole attack is considered to be most problematic. One malevolent node gets packets from a specific area, tunnels them to an alternate transmissible node arranged in another area of the system and deforms the full steering strategy. All routes are merged to the wormhole set up by the aggressors. The total directing framework in MANET gets diverted. Here in this paper, a procedure for identifying malevolent nodes in movable ad-hoc system has been proposed (E-CREDND) and this scheme is critical for the regions where the route separate in the midst of source and goal is two nodes only. This scheme isn't appropriate for those situations where multi-hops are exhibited in the midst of transmitter and recipient. In the anticipated investigation, another procedure is executed for the identification and separation of aggressor sensor nodes from the system. The anticipated plan is used in NS2 and it is portrayed by the propagation results that the anticipated plan demonstrates better execution in correlation with existing methodologies.

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Section: Related Workmentioning

confidence: 99%

E-CREDND Scheme for Detection of malevolent nodes in Ad-hoc Network

Shilpi¹,

Rizvi²

2018

ICST Transactions on Mobile Communications and Applications

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“…In the equation (1) and (2), (2) represents the total input of the ℎ unit of layer 2 .Similarly, the net output of ℎ unit of the output layer can be shown as equation (3),…”

Section: =1mentioning

confidence: 99%

“…Similarly, the impact of the change in weight ( (2) ) , associated with bias and the neurons of the output layer, on error ( (3) ) occurred in output layer is,…”

Section: Back Propagation Of the Annmentioning

confidence: 99%

“…According to the Fig. 4, the net output of ℎ unit (including bias term) of the hidden layer ( (2) ) is,…”

Section: Fig 4 Forward Propagation Of Annmentioning

confidence: 99%

“…It is very difficult to detect and to take preventive measures against wormhole attack since the malicious nodes behave as legitimate nodes and initially do not perform any illegal activity in the network [2]. The word 'wormhole' means the creation of any shortcut path between two far apart points in the space-time [17].…”

Section: Wormhole Attacksmentioning

confidence: 99%

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A Computationally Intelligent Approach to the Detection of Wormhole Attacks in Wireless Sensor Networks

Shaon¹,

Ferens²

2017

Adv. sci. technol. eng. syst. j.

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A wormhole attack is one of the most critical and challenging security threats for wireless sensor networks because of its nature and ability to perform concealed malicious activities. This paper proposes an innovative wormhole detection scheme to detect wormhole attacks using computational intelligence and an artificial neural network (ANN). Most wormhole detection schemes reported in the literature assume the sensors are uniformly distributed in a network, and, furthermore, they use statistical and topological information and special hardware for their detection. However, these schemes may perform poorly in non-uniformly distributed networks, and, moreover, they may fail to defend against "out of band" and "in band" wormhole attacks. The aim of the proposed research is to develop a detection scheme that is able to detect all kinds of wormhole attacks in both uniformly and non-uniformly distributed sensor networks. Furthermore, the proposed research does not require any special hardware and causes no significant network overhead throughout the network. Most importantly, the probable location of the malicious nodes can be identified by the proposed ANN based detection scheme. We evaluate the efficacy of the proposed detection scheme in terms of detection accuracy, false positive rate, and false negative rate. The performance of the proposed algorithm is also compared with other machine learning techniques (i.e. SVM and regularized nonlinear logistic regression (LR) based detection models). The simulation results show that proposed ANN based algorithm outperforms the SVM or LR based detection schemes in terms of detection accuracy, false positive rate, and false negative rates. Keywords

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A Detection Technique for Overhead Minimization in Tunneling Attack

Jangir

Hemrajani

2018

Lecture Notes in Networks and Systems

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A comprehensive review on detection of wormhole attack in MANET

Cited by 8 publications

References 33 publications

E-CREDND Scheme for Detection of malevolent nodes in Ad-hoc Network

E-CREDND Scheme for Detection of malevolent nodes in Ad-hoc Network

A Computationally Intelligent Approach to the Detection of Wormhole Attacks in Wireless Sensor Networks

A Detection Technique for Overhead Minimization in Tunneling Attack

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