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IPFilter: Overview, Related Topics & Entities

IPFilter (commonly referred to as ipf) is an open-source software package that provides firewall services and network address translation (NAT) for many Unix-like operating systems. The author and software maintainer is Darren Reed. IPFilter supports both IPv4 and IPv6 protocols, and is a stateful firewall.

Language: English [EN]
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IPFilter topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around IPFilter.

Related topics
18
Source areas
1
Connected nodes
19
Extracted relationships
7
Related term clusters
18
Bridge connections
19

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 18 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
Darren Reed
License
Before 4.1.35 and 5.1.1: IPFilter License (BSD-like); Since 4.1.35 and 5.1.1: GNU GPLv2[note 1]
Operating system
FreeBSD, NetBSD, Solaris, illumos (OpenIndiana), Linux, HP-UX
Repository
[cvs://[email protected]:/cvsroot/ipfilter cvs://[email protected]:/cvsroot/ipfilter]
Stable release
5.1.2 / 22 July 2012; 14 years ago (2012-07-22)
Type
Packet filtering

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Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How IPFilter connects Entity context

The extracted context around IPFilter shows recurring relationship patterns in the source. For example, IPFilter → Darren Reed Another extracted example is IPFilter → Before 4.1.35 and 5.1.1: IPFilter License (BSD-like); Since 4.1.35 and 5.1.1: GNU GPLv2[note 1]. Use these groups to spot repeated connection types before inspecting the individual relationships.

IPFilter

Top relations

Developer · 1
IPFilter → Darren Reed
License · 1
IPFilter → Before 4.1.35 and 5.1.1: IPFilter License (BSD-like); Since 4.1.35 and 5.1.1: GNU GPLv2[note 1]
Operating system · 1
IPFilter → FreeBSD, NetBSD, Solaris, illumos (OpenIndiana), Linux, HP-UX
Repository · 1
IPFilter → [cvs://[email protected]:/cvsroot/ipfilter cvs://[email protected]:/cvsroot/ipfilter]
Stable release · 1
IPFilter → 5.1.2 / 22 July 2012; 14 years ago (2012-07-22)
Type · 1
IPFilter → Packet filtering
Website · 1
IPFilter → www.phildev.net/ipf/

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

firewall openbsd removed solaris pf operating freebsd netbsd illumos openindiana hp-ux software 11 may module ipf darren reed license release

IPFilter relationships Subject–Predicate–Object triples

TTTA extracted 7 structured relationships around IPFilter. Examples in this analysis include IPFilter → Developer → Darren Reed and IPFilter → License → Before 4.1.35 and 5.1.1: IPFilter License (BSD-like); Since 4.1.35 and 5.1.1: GNU GPLv2[note 1]. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
IPFilterDeveloperDarren Reed1.00infobox
IPFilterLicenseBefore 4.1.35 and 5.1.1: IPFilter License (BSD-like); Since 4.1.35 and 5.1.1: GNU GPLv2[note 1]1.00infobox
IPFilterOperating systemFreeBSD, NetBSD, Solaris, illumos (OpenIndiana), Linux, HP-UX1.00infobox
IPFilterRepository[cvs://[email protected]:/cvsroot/ipfilter cvs://[email protected]:/cvsroot/ipfilter]1.00infobox
IPFilterStable release5.1.2 / 22 July 2012; 14 years ago (2012-07-22)1.00infobox
IPFilterTypePacket filtering1.00infobox
IPFilterWebsitewww.phildev.net/ipf/1.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around IPFilter bring nearby vocabulary together. In this analysis, examples include Firewall, Operating and Solaris. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • IPFilter
    • Firewall
    • Operating
    • Solaris
    • Freebsd
    • Hp-ux
    • Illumos
    • Ipf
    • Netbsd
    • Openindiana
    • Release
    • System
    • Pf
  • ipfilter
    • Firewall
    • Operating
    • Solaris
    • Freebsd
    • Hp-ux
    • Illumos
    • Ipf
    • Netbsd
    • Openindiana
    • Release
    • System
    • Pf
  • firewall
    • Ipfilter
    • Ipf
    • Release
    • Operating
    • Pf
    • Solaris
    • Address
    • Ipv4
    • Many
    • Nat
    • Network
    • Open-source
  • stateful firewall
    • Ipfilter
    • Ipf
    • Release
    • Operating
    • Pf
    • Solaris
    • Address
    • Ipv4
    • Many
    • Nat
    • Network
    • Open-source
  • network address translation
    • Commonly
    • Many
    • Nat
    • Network
    • Open-source
    • Package
    • Provides
    • Referred
    • Services
    • Systems
    • Translation
    • Unix-like
  • unix-like
    • Address
    • Commonly
    • Many
    • Nat
    • Network
    • Open-source
    • Package
    • Provides
    • Referred
    • Services
    • Systems
    • Translation
  • open-source software
    • Many
    • Nat
    • Network
    • Package
    • Provides
    • Referred
    • Services
    • Systems
    • Translation
    • Unix-like
    • Author
    • Maintainer
  • freebsd
    • Hp-ux
    • Illumos
    • Netbsd
    • Openindiana
    • Solaris
    • Ipf
    • License
    • Reed
    • Release
    • System
    • Ipfilter
    • Operating

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the IPFilter map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

IPFilter

Nodes20
Edges19
Triples7
Avg. degree1.9
Density0.1
Components1

Source & methodology

TTTA analyzes the structure around IPFilter to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — IPFilter · EN edition · Analysis: TopicsToTalkAbout

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