Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Start Free
Paessler: Easy to Use With Enterprise Power. Free Trial
A low-code dashboard makes monitoring intuitive for any admin, while scripting and custom sensors give experts full control.
You shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
Menor, code c, c++, java, python, go, php, swift, .., DevSecOps virtual lab, ..
This software is provided as a demonstration build.
Redistribution of the binary is allowed for academic evaluation only.
More previously completed projects will be released incrementally
as executable packages are rebuilt for public distribution.
www.youtube.com/embed/fzoISpZv5d0?
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.
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
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...
My first attempt at a one-way hashing class/algoritm, built as a python class. It produces variable length hash from a message block of the size you want. The resulting hash will be ~2x the message block in size, and should provide for at least as many bits of security as the block itself.
I updated this, with a different hash than original, since I found a potential collision on some blocks, not but specific to that challenge.