A Review of Existing Approaches Affecting Privacy In Social Networking
PPDM, Social networking, Anonymization
Social networking has become a largest platform for data mining in today‘s environment to provide the privacy to users. Online social networks allow their users to share the information related to their personal lives, to communicate in various ways and upload multimedia content over the public platform. Information can easily disclosed to an unintended wider audience due to this kind of exposure. The unlimited access to the information over Internet along with another online application has introduced a novel area of research where data mining algorithms must consider with the perspective of privacy preservation, called privacy-preserving data mining (PPDM).A brief review of literature has been discussed in this paper related to privacy preserving data mining along with social network.
"A Review of Existing Approaches Affecting Privacy In Social Networking", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 9, page no.597 - 601, September-2022, Available :https://ijsdr.org/papers/IJSDR2209099.pdf
Volume 7
Issue 9,
September-2022
Pages : 597 - 601
Paper Reg. ID: IJSDR_201605
Published Paper Id: IJSDR2209099
Downloads: 000347236
Research Area: Computer Science & Technology
Country: DELHI, DELHI, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
