Clone Detection on Large Scale Social Networks Including Wireless Sensor Network

Authors(2) :-Sumandip Kaur, Meenakshi Sharma

Wireless sensor networks are low-cost, low-power and small sensor devices to collect information through networks. The stunning development of the internet use for all sorts of organizations has created in the meantime an expansion of Clone lent exercises, which calls for growing new strategies, devices for distinguishing Clone and different violations against reserve clients. Clone discovery needs to break down and interface data, which are assembled from heterogeneous data storehouses to address critical thinking calculations streamlining, parallelization, new learning representation of ideal models, affiliation instruments for connecting data, and diagram investigation for clustering and parceling. Authors show the inspiration of investigation and the initial steps of the work. Study will center on the development of new coding models in view of Clone attacks and WSN expansions.

Authors and Affiliations

Sumandip Kaur
Computer Science Department, G.I.M.E.T, Amritsar, Punjab, India
Meenakshi Sharma
Computer Science Department, G.I.M.E.T, Amritsar, Punjab, India

Large scale graphs analysis; graph partition and clustering; parallel processing, clone attacks, Clone detection, and security.

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 114-119
Manuscript Number : CSEIT183529
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sumandip Kaur, Meenakshi Sharma, "Clone Detection on Large Scale Social Networks Including Wireless Sensor Network", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.114-119, May-June.2018
URL : http://ijsrcseit.com/CSEIT183529

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