Heimdall is an open-source Peer-based Storage App that uses other users to securely store data as opposed to using opaque cloud servers. The project uses powerful encryption to ensure data is data is hidden from everyone except you, even server owners.
-
End-to-End Encryption
Messages and file transfers are encrypted using AES-256 to ensure maximum security and privacy -
Secure File Transfers
Files are encrypted before being sent and only decrypted upon receipt by the original owner -
Multi File Type Support All file types are supported and the file extension is automatically maintained for maximum ease of use
-
File Return Buffering Servers can buffer requested data when the requester goes offline to ensure all stored data can easily be obtained upon request
-
Easy UI
The UI for both Server and Peer is easy to understand even without a background in CS whilst still providing valuable data and insights -
HTML Integration
Clean and responsive interface with real-time updates powered by the backend Flask API
- Python is used to form the backend of the project
- The socket module is used to handle connections using the TCP protocol
- AES is used through the cryptography module, with DHE being used to securely generate and share the key
- SQL is used to track users and messages using sqlite3
- Logging is done through the logging module, which allows for different warning levels to avoid clutter
- Flask API is used to provide a gateway for the frontend to render the project
- HTML, CSS and Javascript is used to provide a clear user display in a browser, eliminating the need for a specific app
-
This was my first big networking project, so I had to learn about TCP protocols and how to use the socket module
-
This is also my first big cybersecurity project, so I learnt about common algorithms such as AES and RSA and their power for encrypting data
-
I learnt how to use SQL and its power for database management
-
I improved my file management skills and how to effectively achieve such a project efficently and with minimum redundancy
-
I learnt about multithreading and how to safely utilise it to increase the efficency of an algorithm
-
I learnt HTML, CSS and JS and how they can be used to display data in the browser
-
TURN implemenation to deal with NAT Traversal
-
Load Balancing to avoid servers being overwhelmed if numerous requests are made
-
DoS protection to stop malicious actors being able to disable the network by spamming it
Login Page
Server Page
Peer Page
