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Changes in config.js (Version 3.5)

In version 3.5, the config.js file has been updated.
It now includes network interface configuration used by the system.

Current structure example:

 
// new version including net interfaces
export const backendUrl = 'http://192.168.1.1:8080';

// configure - network interfaces
export const ifaceTypes = {
  enp4s0: 'LAN',
  enp3s0: 'WAN',
  enp7s0: 'DMZ',
  tun0: 'VPN'
};

backendUrl Parameter #

 
export const backendUrl = 'http://192.168.1.1:8080';

Defines the address of the Suri Oculus backend server.

It is used for:

  • performing REST API requests,
  • retrieving events and statistics,
  • managing rules and system settings.

If the server IP address or port changes, this value must be updated accordingly.

ifaceTypes Parameter #

 
export const ifaceTypes = {

  enp4s0: 'LAN',
  enp3s0: 'WAN',
  enp7s0: 'DMZ',
  tun0: 'VPN'

};

Defines logical types for network interfaces.

Format #

 
<interface_name>: <type>

Where:

  • interface_name — the system interface name (as shown by ip a, nmcli, or ifconfig)
  • type — the logical network role of the interface

Recommended Types #

  • LAN — internal network
  • WAN — external interface
  • DMZ — demilitarized zone
  • VPN — tunnel interfaces (e.g., tun0)

Why It Is Needed #

Interface classification is used in the frontend for:

  • proper network map visualization,
  • separating internal and external traffic,
  • filtering events by network zones,
  • more accurate host behavior analysis,
  • correct flow and statistics visualization.

Without explicitly defining interface types, the system cannot reliably determine whether traffic belongs to the internal network or the external perimeter.

Important Notes #

  • Interface names must exactly match the names configured in the operating system.

  • If the network configuration changes, config.js must be updated.

  • Interfaces not defined in ifaceTypes will be processed without zone assignment.

This update simplifies adapting Suri Oculus to different network architectures and improves traffic analysis accuracy and visualization clarity.