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An Efficient Privacy Preserving in MSN using Improved Decision Tree Algorithm

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Neetu Raghuwanshi, Abhishek Mathur
10.5120/ijca2017914107

Neetu Raghuwanshi and Abhishek Mathur. An Efficient Privacy Preserving in MSN using Improved Decision Tree Algorithm. International Journal of Computer Applications 167(1):35-39, June 2017. BibTeX

@article{10.5120/ijca2017914107,
	author = {Neetu Raghuwanshi and Abhishek Mathur},
	title = {An Efficient Privacy Preserving in MSN using Improved Decision Tree Algorithm},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2017},
	volume = {167},
	number = {1},
	month = {Jun},
	year = {2017},
	issn = {0975-8887},
	pages = {35-39},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume167/number1/27738-2017914107},
	doi = {10.5120/ijca2017914107},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Here in this paper, efficient privacy preservation over Mobile Social Networks is implemented to secure attacks over Mobile Social Networks. The Existing methodology implemented for the Friending Mobile Social Networks is efficient which provides an efficient computation of Data and privacy from unauthorized users. Here an efficient Decision Tree based algorithm is implemented using Partition of Data using Some Partition based algorithm and then classify data using an ID3 algorithm. The Experimental results when performed on Social Network Dataset the proposed methodology gives efficient results in comparison.

References

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Keywords

Mobile Social Network, Decision Tree, Privacy Preservation, ID3, Classifier, Facebook.