AI & ML Models

Cloud Based Storage Encryption Decryption in Python Projects

0.0 (0 reviews) • 0 downloads
1000
Buy Now

Cloud Based Storage Encryption Decryption in Python Projects

Share This Product
Technical Details
Domain : Python
Database : Sqlite
Tools : Anaconda
Run Tools: VS Code
Secure Payment
Instant Download
GST Invoice
24/7 Support

About This Product

Cloud Based Storage Encryption Decryption in Python Projects
Abstract
With the growing use of cloud services like Google Drive, AWS S3, and Azure Storage, data security and privacy have become major concerns. Sensitive data stored in the cloud is vulnerable to cyber-attacks, unauthorized access, and data breaches. This project introduces a secure cloud-based storage encryption and decryption system using Python. The system uses cryptographic algorithms such as AES (Advanced Encryption Standard), RSA (Rivest–Shamir–Adleman), and Fernet symmetric encryption to protect data before it is uploaded to the cloud. Users can encrypt any file locally and store the encrypted version securely on the cloud; the file can only be decrypted using a valid secret key. This system ensures confidentiality, integrity, and secure transmission of data, making it suitable for academic, business, and personal secure storage applications.

Existing System
The traditional method of cloud file storage uploads files directly to the cloud without encryption. This leaves data vulnerable in case of cloud provider hacking, insider threats, and unauthorized access. Many cloud platforms use server-side encryption, but this means cloud providers still control the decryption keys, posing privacy risks. Existing systems also lack customizable key management and local offline encryption options, leaving data security largely dependent on third-party controls.

Proposed System

The proposed system provides client-side encryption, meaning the data is encrypted locally using a unique key before being uploaded to the cloud. Even if the cloud server is compromised, attackers cannot read the contents without the decryption key. The project uses Python cryptography libraries to implement encryption and decryption. The system also allows password-based key generation, secure key storage, and integration with cloud services like AWS S3 or Google Drive using APIs. A user-friendly interface is developed using Flask or Tkinter for easy file upload, encryption, and download.

Customer Reviews (0)

No reviews yet. Be the first!

Related Products

⭐ Featured
Zomato Restaurant Reviews Sentimental Analyzer in Python Projects
AI & ML Models
Zomato Restaurant Reviews Sentimental Analyzer in Python Projects
Zomato Restaurant Reviews Sentimental Analyzer in Python Projects
1000
⭐ Featured
Weed Detection in Python Projects
AI & ML Models
Weed Detection in Python Projects
Weed Detection in Python Projects
1000
⭐ Featured
Voice Disorder Prediction using Audio Dataset in Python Projects
AI & ML Models
Voice Disorder Prediction using Audio Dataset in Python Projects
Voice Disorder Prediction using Audio Dataset in Python Projects
1000
Vitamin Deficiency Detection Using Image Processing in Python Projects
AI & ML Models
Vitamin Deficiency Detection Using Image Processing in Python Projects
Vitamin Deficiency Detection Using Image Processing in Python Projects
1000