ADAPTIVE TRANSMISSION OF SENSITIVE INFORMATION IN ONLINE SOCIAL NETWORKS

Abstract

This project introduces a dynamic method for transmitting sensitive information in online social networks (OSNs). It adapts encryption and sharing strategies based on data sensitivity and network context. This adaptive approach aims to enhance data security and user experience without compromising network performance.

Existing System

Traditional security measures in OSNs employ standard encryption protocols that do not differentiate between various data sensitivities or dynamic user interactions. These static approaches often fail to protect against advanced cyber threats, risking data breaches and misuse.

Proposed System

The proposed system uses advanced technologies to tailor security dynamically to the needs of OSNs. It offers:

  • Context-Aware Encryption: This feature uses machine learning to adjust encryption based on the sensitivity of the information and the reliability of network connections.
  • Adaptive Data Dissemination: The system modifies how data is shared, based on real-time security analysis and user settings.
  • User-Centric Privacy Controls: Users can easily adjust their privacy settings, which enhances trust and engagement.
  • Integrated Threat Detection: The system includes a mechanism to detect and counteract threats in real time as data circulates.

Methodology

  1. Requirement Gathering: Collect input from OSN users and security experts to understand transmission challenges.
  2. System Design: Design a system with algorithms for smart encryption and adaptive sharing.
  3. Prototype Development: Build a prototype in simulated OSN environments to demonstrate proposed features.
  4. Testing and Feedback: Test the system extensively to refine security, efficiency, and user-friendliness based on user feedback.

Technologies Used

Programming Languages: Develop the backend with Python and Java, integrating APIs for dynamic data handling.

Machine Learning Tools: Use TensorFlow or PyTorch for creating models that determine data sensitivity and trustworthiness.

Encryption Standards: Implement robust encryption techniques to secure data.

Network Simulators: Test the system with tools like OMNeT++ to ensure functionality in virtual settings.