Research this topic
Explore the main themes, entities and connections around SELinux. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Explore this topic
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
History
Adoption
Overview
Comparison with AppArmor
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
- Developer
- SELinux project
- License
- GNU GPL
- Operating system
- Linux
- Original authors
- NSA and Red Hat
- Release
- 22 December 2000; 25 years ago (2000-12-22)
- Repository
- github.com/SELinuxProject/selinux
Topics to explore
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.Browse the full topic structure. Each item opens a new analysis centered on that subject.
Overview
- Linux kernel
- Security module Linux Security Modules
- Access control
- Mandatory access controls Mandatory access control
- Linux distributions Linux distribution
- Architecture Software architecture
- United States
- National Security Agency (NSA). National Security Agency
- Patches Patch (computing)
- Daemons Daemon (computing)
- Buffer overflows Buffer overflow
- Discretionary Discretionary access control
- Superuser
- Setuid
- Setgid
- Mandatory integrity controls Mandatory integrity control
- Role-based access control
- Type enforcement architecture
History
- Rainbow Book Rainbow Series
- Linux kernel mainline
- Open source Open-source software
- GNU GPL
- Red Hat
- Network Associates
- Secure Computing Corporation
- Flux Advanced Security Kernel FLASK
- TrustedBSD
- FreeBSD
- Darwin Darwin (operating system)
- Fluke operating system Fluke operating system?action=edit&redlink=1
- Type enforcement
- Multilevel security
- Distributed Trusted Operating System Distributed Trusted Operating System?action=edit&redlink=1
- Network Associates Laboratories
- The MITRE Corporation Mitre Corporation
- Russell Coker
Features
- Crond Cron
- File descriptors File descriptor
- Default-deny Whitelisting
Adoption
- Android Android (operating system)
- Fedora Fedora (operating system)
- Debian
- Ubuntu Ubuntu (operating system)
- SUSE Linux Enterprise
- OpenSUSE SUSE Linux
- Linux containers
- CoreOS Container Linux Container Linux by CoreOS
- Red Hat Enterprise Linux
- CentOS
- Scientific Linux
- AlmaLinux
- Rocky Linux
- Virtual machines Virtual machine
- AppArmor
Use case scenarios
- Daemons Daemon (computer software)
Comparison with AppArmor
- SUSE Linux Enterprise Server
- OpenSUSE
- Immunix Linux Immunix
- DAC Discretionary Access Control
- BLP Bell–LaPadula model
- Biba Biba Model
Similar systems and enhancements
- Virtualization Operating system-level virtualization
- NSA
- General Dynamics
Advanced semantic analysis
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.SELinux
How this topic connects Entity context
Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.See the strongest relationship patterns around the current topic before diving into the raw triples.
SELinux
Top relations
Important terminology Word statistics
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Important terminology
security linux apparmor policy system files access control kernel policies file users also nsa type mandatory enforcement user one systems
Entity relationships Subject–Predicate–Object triples
Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| SELinux | Developer | SELinux project | 1.00 | infobox |
| SELinux | License | GNU GPL | 1.00 | infobox |
| SELinux | Operating system | Linux | 1.00 | infobox |
| SELinux | Original authors | NSA and Red Hat | 1.00 | infobox |
| SELinux | Release | 22 December 2000; 25 years ago (2000-12-22) | 1.00 | infobox |
| SELinux | Repository | github.com/SELinuxProject/selinux | 1.00 | infobox |
| SELinux | Stable release | 3.11 / 1 July 2026; 54 days ago (1 July 2026) | 1.00 | infobox |
| SELinux | Type | Security, Linux Security Modules (LSM) | 1.00 | infobox |
| SELinux | Website | selinuxproject.github.io | 1.00 | infobox |
| SELinux | Written in | C | 1.00 | infobox |
| SELinux | is a | set of kernel modifications and user-space tools that have been added to various Linux distributions | 0.90 | text |
| Debian as of version 9 Stretch release | instance of | Other distributions include support for it | 0.80 | text |
Related concept clusters Concept neighborhoods
Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.These clusters group vocabulary that occurs around closely connected concepts in the source material.
Connections between topic areas Semantic bridges
Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.