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Sinkhole Attack Prevention and Mitigation in Wireless Sensor Network

Thesis Info

Access Option

External Link

Author

Adeel Ashraf

Institute

Virtual University of Pakistan

Institute Type

Public

City

Lahore

Province

Punjab

Country

Pakistan

Thesis Completing Year

2019

Thesis Completion Status

Completed

Subject

Software Engineering

Language

English

Link

http://vspace.vu.edu.pk/detail.aspx?id=269

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676721010905

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WSNs may be described as self-composed networks without the emergence of any fundamental regulator. Because of this property, protection and power consumption are main issues of WSNs. The security attacks are triggered by the malicious nodes which enter the network. Two categories of safety intrusions are active and passive. Sinkhole intrusion comes in the category of active intrusion. During sinkhole attack, the malicious nodes spoof identity of the base station and act like base station. The sensor nodes start transmitting data to malicious nodes instead of base station. In the existing system, the technique of monitor mode and mutual authentication are proposed for isolating the malicious nodes present in WSN. In the projected study, a novel approach is designed for detection and isolation of attacker sensor nodes from the system. Identity verification is the base of projected approach. Ns2 is used for the implementation of algorithm and results are analyzed in by means of throughput, package trouncing and power. Various investigations indicated that throughput of the projected technique is high in comparison with presented technique. The energy consumption of projected technique is fewer in comparison with accessible technique. Packet loss in case of existing technique is high as compared to proposed technique.
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