Open AccessEmploying Graph Theory on Social Networks by Data Encryption to Enhance Privacy
Author(s) -
P Shalini
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.39048
Subject(s) - encryption , computer science , communication source , client side encryption , internet privacy , computer security , graph , social graph , the internet , computer network , social network (sociolinguistics) , theoretical computer science , on the fly encryption , world wide web , social media
Now a day’s users of Online Social Network have been increased by the Internet usage. As huge number of online social Network users, it becomes more and more interactive and privacy becomes a matter of increasing concern. To solve this problem, graph structure, Proposed Algorithm, Encryption Algorithm used, which excludes the users which combine the information of the status of privacy users. By using these methods, the experiment can be done which helps to show how the server works in between the sender and receiver and to receive their information without knowing third parties. And it would be easier by using graph that shows it can be efficiently helps the users to improve their privacy disclosure. Keywords: Graph theory, social network, Privacy, Data Encryption, end to end encryption, Encryption Algorithm.