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  Published Paper Details:

  Paper Title

LOCALIZED MULTICAST: REPLICA DETECTION IN LARGE SCALE SENSOR NETWORKS

  Authors

  Chintala Sreelatha,  Mekala Sai Sumanth,  Daruri Bandhavi,  B.Subbarayudu

  Keywords

Visual Studio, .NET, Multicast Algorithm, Red Protocol.

  Abstract


Because of the miserable security of sensors focus focuses, it is ordinarily expected that a foe can catch and think about little degree of sensors inside the affiliation. In a middle point replication assault, an adversary can take gain of the capacities of a compromised focus to bring expansions of that middle point into the neighborhood inconspicuously. Without a compelling and green affirmation part, those copies might be utilized to convey a spread of assaults that subvert different sensor undertakings and shows. This white paper introduces a single assigned framework called localized multicast for detecting focus replication attacks. The show and security of our framework are assessed both hypothetically and through entertainment. That is the very thing our outcomes show, strangely, With beyond special strategies proposed through utilising Parno et al., Localized Multicast is more prominent green to the degree that correspondence and memory costs in gigantic augmentation sensors affiliations, and on a near time accomplishes an unmatched opportunity seeing focus point expansions.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2205854

  Paper ID - 220042

  Page Number(s) - h320-h329

  Pubished in - Volume 10 | Issue 5 | May 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Chintala Sreelatha,  Mekala Sai Sumanth,  Daruri Bandhavi,  B.Subbarayudu,   "LOCALIZED MULTICAST: REPLICA DETECTION IN LARGE SCALE SENSOR NETWORKS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 5, pp.h320-h329, May 2022, Available at :http://www.ijcrt.org/papers/IJCRT2205854.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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