• Mrs. Rachana Ashtekar
• Dr. A. V. Deshpande

Social networks, which are practically a part of our daily lives, have created new social norms for communication and behavior. Even though people and businesses have been using social networks extensively for years, governments are becoming more and more interested in the latest in communication technologies. Sites like Facebook, Twitter, and Linked In offer a way for people to connect based on various things like already-existing friendships, shared hobbies, or employment. . Its openness increases the likelihood of vulnerabilities, data breaches, and compliance violations. It also creates additional opportunities for hackers to flourish due to a lack of regulation and standardization, making it the most recent platform for security attacks. For security reasons, it is required to provide some data confidentiality algorithm for online social network to solve this problem. This paper provide the comprehensive review of social network security threats and existing solution that can provide the security for the social network user. The proposed model provide the functionality like, revealing hidden attribute value of social profile, node similarity, privacy- preserving social network analysis and privacy-aware access control. In this paper the mainly uses the approach to privacy as a protection model, structural model evaluation, OIGH algorithm. The proposed schema used extended-OIGH method contain the fednoise algorithm and split and carry algorithm.

Online Social Networks, Woman business support network, Attribute management server, Privacy Enhancing Technologies, Social Networking Sites (SNSs).

"Data confidentiality Algorithms for Online Social Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.1038-1043, May 2023, Available :http://www.jetir.org/papers/JETIRFX06183.pdf

"Data confidentiality Algorithms for Online Social Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp1038-1043, May 2023, Available at : http://www.jetir.org/papers/JETIRFX06183.pdf