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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.
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around IPFilter.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around IPFilter shows recurring relationship patterns in the source. For example, IPFilter → IP Filter FAQ, Phil Dibowitz Another extracted example is IPFilter → Darren Reed. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
firewall openbsd removed solaris pf operating freebsd netbsd illumos openindiana hp-ux software 11 may module ipf darren reed license release
TTTA extracted 9 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.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| IPFilter | Developer | Darren Reed | 1.00 | infobox |
| 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] | 1.00 | infobox |
| IPFilter | Operating system | FreeBSD, NetBSD, Solaris, illumos (OpenIndiana), Linux, HP-UX | 1.00 | infobox |
| IPFilter | Repository | [cvs://[email protected]:/cvsroot/ipfilter cvs://[email protected]:/cvsroot/ipfilter] | 1.00 | infobox |
| IPFilter | Stable release | 5.1.2 / 22 July 2012; 14 years ago (2012-07-22) | 1.00 | infobox |
| IPFilter | Type | Packet filtering | 1.00 | infobox |
| IPFilter | Website | www.phildev.net/ipf/ | 1.00 | infobox |
| IPFilter | related to External links | IP Filter FAQ | 0.60 | section |
| IPFilter | related to External links | Phil Dibowitz | 0.60 | section |
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.
Bridges highlight paths between different parts of the IPFilter map and can reveal research angles that are easy to miss in a flat list.
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