22SS-Social-Network-Privacy-and-Security

ZJU-course-project/lab

Internet Bandwidth Sharing Project - IPRoyal Pawns

Introduction

This project focuses on the concept of internet bandwidth sharing using the IPRoyal Pawns application. It explores how individuals can monetize excess internet bandwidth and the implications of such a system.

Background

• Concept: Utilizing unused internet data from flat-rate or large data plans for passive income.
• How it Works: IPRoyal Pawns app enables users to share internet traffic via their devices, acting as gateways.

Safety and Privacy

• Strict adherence to privacy standards: No access to personal storage or data collection beyond necessary information (IP address, network speed, location).
• All traffic is fully encrypted to ensure user privacy.

User Rights

• GDPR and CCPA compliant, ensuring users' rights to access, modify, and remove their information.

Potential Use Cases

• Overcoming location restrictions and censorship by providing access to the web from different geographic locations.

Conclusion

This project provides insights into the potential of internet bandwidth sharing as a source of passive income and its broader implications in internet accessibility and privacy.

Report - Internet Services Complaints Analysis

This project presents an in-depth analysis of customer complaints in the Internet Services sector, leveraging data from a major customer complaints platform.

Overview

• Objective: Examine 2708 specific customer complaints against top Internet Service providers over 15 years.
• Methodology: Data collected includes customer complaints, company profiles, and associated images. Utilized web scraping techniques with Selenium and Beautiful Soup in Python.

Key Insights

• Analysis of complaint content, customer sentiment, and company response rates.
• Generation of word clouds to highlight common themes in complaints.

Data Visualization

• Word clouds for individual companies and overall complaint themes.
• Analysis of complaint resolution and company response patterns.

Conclusions

The study provides valuable insights into customer grievances and company practices in the Internet Services industry, offering a unique perspective on consumer-company dynamics.

How to Run

Instructions to replicate the analysis are included. Requires Python with Selenium and Beautiful Soup.