Omarine is a powerful operating system for servers. It can also be used for desktops with the GNOME/Plasma/Xfce/LXDE option right at the login screen without any additional configuration.
Omarine 8.1 released! (Sep 9 2021)
The Authorization Policy is improved in terms of Security Policy. System processes are detached from the user domains to run in the secure domains.
This version fixed the build of the libffi library to make it portable.
Some of the major packages are:
You are visiting and (possibly) downloading files from servers running Omarine OS
What is Omarine different from other distros?
The servers in Omarine are configured to support security means such as krb5, sasl, ssl. You can set up a secure network based on the model Omarine Native Directory.
Why is Omarine the leading security operating system?
Omarine is one of the very few distributions worldwide that adopt SELinux.
Omarine is designed for the Defense in Depth, supporting endpoint protection and neutralizing malicious link attacks. Omarine also disables brute force or dictionary attacks because the security policy does not allow malicious programs to read password hashes.
Why is SELinux more secure than other security modules?
SELinux belongs to the principle of reducing the attack surface, maintaining a whitelist instead of a blacklist in the security policy.
Most other distributions today do not use SELinux. Contrasting with SELinux is AppArmor, a security module that follows a blacklisting approach, which is a strategic vulnerability in the IoT context.
What are the advantages of having multiple desktop environments?
Naturally it meets different usage preferences. More importantly, you can use many outstanding software in every desktop environment. For example, you can use KDE's Kate editor in Xfce.
What is Omarine's vision?
Omarine is built with AI thinking. On the one hand, the packages are optimally composited. On the other hand, it supports and creates AI programming environment such as FUZZY programming language. Omarine has and continues to be present in clouds, its components have and continue to participate in machine learning projects in the clouds.
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