Showing 4 open source projects for "python data analysis"

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  • 1
    ParaCrypt

    ParaCrypt

    more convenient one-time-pad encryption.

    ParaCrypt is software for encrypting and decrypting data with one-time-pads. For convenience the one-time-encryption-pads are created using pre-shared unencrypted files as sources of entropy.
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  • 2
    Kirmah
    Encryption with symmetric-key algorithm Kirmah - generate keys with exotic chars - redefine key length - key mark to ensure decryption capabilities - mix data - fast with multiprocessing - possible compression - gui on gtk3 - cli tool - python3 DEPENDENCIES : ======== python3, python-gobject, gobject-introspection, pygtk 3 modes are available to encrypt : ======== - compression (full / disabled or only final step) - random (simulate a random order - based on crypted key - to randomize data) - mix (mix data according to a generated map - based on crypted key - with addition of noise) Process is as follow : ======== encrypt : file > [ compress > ] encrypt > [randomiz data > mix data > compress > ] file.kmh decrypt: file.kmh > [ uncompress > unmix data > unrandomiz data] > decrypt > [uncompress > ] file ======== for encrypt/decrypt large binary files, use the fastest alternative : split/merge
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  • 3
    ImpraStorage

    ImpraStorage

    ImpraStorage provided a private imap access to store large files

    ImpraStorage provided a private imap access to store large files. Each file stored on the server is split in severals random parts. Each part also contains random noise data (lenght depends on a crypt key) to ensure privacy and exclude easy merge without the corresponding key. An index of files stored is encrypt (with the symmetric-key algorithm Kirmah) and regularly updated. Once decrypt, it permit to perform search on the server and download each part. transfert process is...
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  • 4

    FactHash

    Factorial Hashing Function

    ...To further correct this, I modified the padding when it's less than the block size. I hold no guarantee of the security of this algorithm, USE AT YOUR OWN RISK. I have had no 3rd party analysis done on the algorithm to date, but research is welcome, and a challenge is even provided in CHALLENGE.txt.
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