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Online Social Networks (OSNs) have transformed the way people communicate, share information, and interact in the digital world. These platforms enable users to create profiles, build connections, and exchange various types of content such as text, images, and videos. With the rapid growth of OSNs, a vast amount of user data is generated, including personal, behavioural, and location-based information. While these features enhance user experience, they also introduce significant privacy and security challenges.
This paper presents a comprehensive study of data in OSNs, including user profile data, connections, interaction data, and behavioral patterns. It examines different types of online social networks and their functionalities. The study highlights major privacy issues faced by users, such as unauthorized data access, identity theft, information leakage, and third-party data misuse. It also discusses provider-related concerns, including data collection practices, lack of transparency, and risks associated with content recommendation algorithms.
Furthermore, the paper explores various threats in OSNs, including phishing attacks, malware, spam, cross-site scripting, and modern threats like de-anonymization and inference attacks. To address these challenges, several security mechanisms are analyzed, such as encryption techniques, privacy settings, access control methods, and user awareness strategies. Legal and regulatory frameworks related to data protection are also considered.
In conclusion, ensuring data confidentiality and user privacy in OSNs remains a critical challenge. Effective security measures, combined with user awareness and proper privacy management, are essential to create a safer and more secure online social networking environment.
Keywords:
Online Social Networks,
Cite Article:
"Exploring Privacy Vulnerabilities and Security Frameworks in Online Social Networks", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.a494-a509, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604067.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator