Contact person: Android Communication Platform with Steganography & Encryption

Phone:Show

Email:Show

Location: allhabad, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"Develop a robust Android-based secure communication and file transfer platform with comprehensive end-to-end security. The system leverages steganography for data concealment within image containers, combined with AES-256 encryption and Cryptographic techniques. All traffic is routed via a private secured VPN via internet. An integrated AI-driven SMS threat detection module analyzes and filters phishing, spam, and malicious messages, ensuring data integrity and user protection.

2
SCOPE
1. Secure Communication via Private VPN.
1.1. All chats and file transfers occur within a dedicated WireGuard-based VPN tunnel.
1.2. VPN server hosted on Ubuntu (local/server machine), connected with the Android client with AES-256 encryption and additional cryptographic techniques.
2. Automatic VPN Lifecycle Management.
2.1. Before sending any chat or file, the app checks if the VPN server is active and functional.
2.2. If inactive, the VPN tunnel is automatically established.
2.3. When the application closes, the VPN connection automatically shuts down for security and resource efficiency.
3. VPN Server Backend (Python-based).
3.1. Python-based VPN server for Ubuntu.
3.2. Secure relay for encrypted communication between clients.
3.3. Works in both local networks and internet-based deployments.
4. User Authentication & Access Control.
4.1. Role-based login (Admin / User).
4.2. Admin Dashboard: Create, manage, and delete users; reset credentials.
4.3. Two-Factor Authentication (2FA): OTP verification/ QR code based login for enhanced security.
5. Steganography + AES-256 Encryption.
5.1. Hide any file type (PDF, DOC, ZIP, audio, video, etc.) inside images.
5.2. Files encrypted using AES-256 before embedding.
5.3. Ensures both covert transmission and strong encryption.
6. Log Management & Monitoring.
6.1. Tracks file transfers, chats, authentication attempts, and account activities.
6.2. All logs are tamper-proof for auditing and security investigations.
7. AI-Powered Spam SMS Detection.
7.1. Integrated AI-based spam detection engine inside the app.
7.2. Detects spam in real-time incoming SMS.
7.3. Can also scan and classify existing SMS messages on the device.
7.4. Uses TensorFlow Lite for lightweight and offline ML inference." (client-provided description)