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AI-VPN: Protecting the Privacy of Civil Society with a Local, Autonomous, AI-based VPN

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00354977" target="_blank" >RIV/68407700:21230/21:00354977 - isvavai.cz</a>

  • Result on the web

    <a href="https://github.com/stratosphereips/AIVPN" target="_blank" >https://github.com/stratosphereips/AIVPN</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    AI-VPN: Protecting the Privacy of Civil Society with a Local, Autonomous, AI-based VPN

  • Original language description

    To better protect the privacy of civil society by researching and developing a locally and easy to implement VPN that checks the traffic of devices with AI-based detection to automatically block threats and stop dangerous privacy leaks. The detection of malicious threats, attacks, infections and private leaked data is implemented using novel free software AI technology.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Internal product ID

    NL NET 2021

  • Technical parameters

    The AI VPN is a modular service that automates the generation and revocation of VPN accounts, featuring the automatic capture of network traffic for each account, and the automatic network traffic analysis and reporting of incidents. The AI VPN follows a microservices design and runs using Docker Compose.

  • Economical parameters

    Automate the detection of targeted attacks in mobile devices before any financial loss in the end user.

  • Owner IČO

    68407700

  • Owner name

    České vysoké učení technické v Praze / FEL / katedra počítačů