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A Review Study on Privacy Policy Inference of Multiple User-Uploaded Images on Social Context Websites

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Himani Singh, Mamta Bhusry
10.5120/ijca2016911778

Himani Singh and Mamta Bhusry. A Review Study on Privacy Policy Inference of Multiple User-Uploaded Images on Social Context Websites. International Journal of Computer Applications 152(2):27-30, October 2016. BibTeX

@article{10.5120/ijca2016911778,
	author = {Himani Singh and Mamta Bhusry},
	title = {A Review Study on Privacy Policy Inference of Multiple User-Uploaded Images on Social Context Websites},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2016},
	volume = {152},
	number = {2},
	month = {Oct},
	year = {2016},
	issn = {0975-8887},
	pages = {27-30},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume152/number2/26293-2016911778},
	doi = {10.5120/ijca2016911778},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Sharing images might prompt presentation of individual data and security breach. This collected data can be misused by unsafe clients. To anticipate such sort of undesirable acknowledgement of individual images, adaptable security settings are required. Recently, such security settings are made accessible and keeping up these measures is a cloudy and error inclined procedure. In this manner, suggestion framework is required which supply client with an adaptable help for organizing security settings in much easier way.

This paper includes the survey on different studies on privacy preserving for sharing images over social networking sites.

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Keywords

Image Sharing, Privacy Preserving, Survey, Social Networking Sites, Traffic Rate