Year: 2025
Type: conference-paper
Abstract: Social Media Platforms offer numerous benefits and allow people to come together for various causes.Many communities, academia, government agencies, institutions, healthcare, entertainment, and businesses are on Social Media Platforms.They are intuitive and free for the users.It has become unimaginable to have life without social media.Their architecture and data handling are geared towards scalability, uninterrupted availability, and both personal and collaborative revenue generation.Primarily, artificial intelligence algorithms are employed on stored user data for optimization and feeds.This has the potential to impact their users' safety, privacy, and security, even if metadata is used.A new decentralized data arrangement framework based on the Fractal-tree and L-Systems algorithm is proposed to mitigate some of the impacts of Social Media Platforms.Future work will focus on demonstrating the effectiveness of a new decentralized framework based on Fractal trees and L-systems by comparing its results against state-of-the-art security methods currently employed in databases.The cryptographic algorithm could also be implemented for our framework, employing a new key generation for each branch.This will strengthen the database security, for example, when the user key is leaked, the change of each branch key will keep the data secure by employing a defense in the proposed framework of L-System's tree.
Source: Computer Science Research Notes
Authors: Smita Khapre, Sudhanshu Semwal
Institution: University of Colorado Colorado Springs
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4412763793