Floppy Cloud Backup System

No Thumbnail Available
Date
2021
Authors
Tuffaha, Bahaa
Alawwad, Osama
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Our main idea was to minimize the user interactions when it comes to backup the user important files. So how our code work is that it observes the user workflow in the background and register the files that opened and how many times it was opened during a certain period, and for how long the files were opened, then using all this data, we used machine learning algorithms to identify the important files based on how the user work, and compress and crypt them and upload them to the cloud automatically, all this is done without the user interactions. The user can also manually upload something to the cloud, or check the current backups and choose to restore any of them or not.
Description
Keywords
Citation