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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Complete Analysis and Classifications of Sybil Attack in Mobile Adhoc Network

Authors: Research Scholar Gurpreet Singh;

Complete Analysis and Classifications of Sybil Attack in Mobile Adhoc Network

Abstract

In a MANET number of devices or mobiles are connected to each other with wireless medium. This network is a temporary network. In the MANET, there is not any centralized device which control all netwrok. MANET using dynamic topology. The Sybil attack is characterized as a malicious node misguidedly taking on various MANET . A Malicious device acts as though it\\\'s anything but a bigger number of nodes, for instance by mimicking different devices or basically by asserting bogus MANET. In this,a terrible device present more than one character in MANET. So it is not much safe Network. The attacker are easily attacks on the MANET. Consequently, Security is an essential worry to give ensured correspondence between nodes in impromptu organizations and shots at having the weaknesses are additionally more. In this paper we complete analysis and classification of the various Sybil attack techniques and decline the network performance and throughput.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green