Privacy and Security in Online Social Media-a Big Challenge
Nripendra Narayan Das1, Govind Singh Patel2

1Dr. Nripendra Narayan Das, Associate Professor, Department of Computer Science and Engineering, Manav Rachna International Institute of Research and Studies Faridabad (Haryana), India
2Dr. Govind Singh Patel, Professor, SEEE Lovely Rofessional University, Jalandhar (Punjab), India
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1779-1783 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3886048619/19©BEIESP
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Abstract: Social media generate huge amount of unstructured data using multiple platforms. This study consists of various privacy and security concerns on social media, collect data from online social media analyze the data and visualize. The primary focus is establishes different aspects of security and privacy on social media. A novel framework has been developed for collecting data from online social network like Twitter, raising this content and visualizing this data in terms to understand whether the followers that genuine or fake. Extensive research has carried out to identify fake followers in social network by profile linking. A social network analysis system has been formed using text analysis approaches to extract meaningful inferences. Profile linking may be necessary for organizations. The experimental results showed that better profile linking is possible with past history of user handles.
Keyword: Big Data, NLTK, Social Media, Profile linking.
Scope of the Article: Social Networks