Floppy Cloud Backup System

dc.contributor.authorTuffaha, Bahaa
dc.contributor.authorAlawwad, Osama
dc.date.accessioned2021-09-30T07:02:10Z
dc.date.available2021-09-30T07:02:10Z
dc.date.issued2021
dc.description.abstractOur 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.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11888/16343
dc.language.isoenen_US
dc.titleFloppy Cloud Backup Systemen_US
dc.typeGraduation projecten_US
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