Respondents view of novel framework for data protection in social networking sites: an analysis
by Shilpi Sharma
International Journal of Computing Science and Mathematics (IJCSM), Vol. 10, No. 1, 2019

Abstract: The era of social networking technologies has been met with mixed reactions by every user around the world. This study explored the novel framework for the data protection at the user's level in social networking site. The study followed a descriptive research design wherein a questionnaire was used as the main research tool. The data collected was analysed using SPSS 19. The data was gathered from the 300 users and analysed in accordance with the objectives of the study. As we know that the concerns rose about the disclosure of personal information on social network sites, users continue to disclose huge quantity of personal information. They find that the reading privacy policy is time consuming and changes made can result into improper settings. The analysis of the results concludes that the novel framework satisfies the requirements and the needs to secure user data in a platform, i.e., social media. The members of website have appreciated the implementation that lay towards graphical authentication, watermarking feature, encryption technique, approval of friendship request prior to approval and consent of service provider while processing or sharing information for the data protection in social networking sites.

Online publication date: Wed, 30-Jan-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computing Science and Mathematics (IJCSM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com