Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

KCipher-2: Standards & Companies

KCipher-2 is a stream cipher jointly developed by Kyushu University and Japanese telecommunications company KDDI. It is standardized as ISO/IEC 18033–4, and is on the list of recommended ciphers published by the Japanese Cryptography Research and Evaluation Committees (CRYPTREC). It has a key length of 128 bits, and can encrypt and decrypt around seven…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

KCipher-2 topic overview

The analysis highlights Standards and Companies as prominent areas in the source structure around KCipher-2.

Related topics
6
Source areas
1
Connected nodes
7
Extracted relationships
7
Concept neighborhoods
8
Bridge connections
7

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 · 6 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.

Certification
CRYPTREC
Designers
KDDI Research [ja] · Kyushu University
First published
2007; 19 years ago (2007)
Key sizes
128 bits
State size
640 bits

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

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.

How KCipher-2 connects Entity context

The extracted context around KCipher-2 shows recurring relationship patterns in the source. For example, KCipher-2 → KDDI Research [ja], Kyushu University Another extracted example is KCipher-2 → CRYPTREC. Use these groups to spot repeated connection types before inspecting the individual relationships.

KCipher-2

Top relations

Designers · 2
KCipher-2 → KDDI Research [ja], Kyushu University
Certification · 1
KCipher-2 → CRYPTREC
First published · 1
KCipher-2 → 2007; 19 years ago (2007)
Key sizes · 1
KCipher-2 → 128 bits
State size · 1
KCipher-2 → 640 bits
is a · 1
KCipher-2 → stream cipher jointly developed by Kyushu University and Japanese telecommunications company KDDI

Important terminology

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

Important terminology

japanese kddi cryptrec kyushu university published research key 128 bits stream cipher jointly developed telecommunications company standardized iso iec 18033

KCipher-2 relationships Subject–Predicate–Object triples

TTTA extracted 7 structured relationships around KCipher-2. Examples in this analysis include KCipher-2 → Certification → CRYPTREC and KCipher-2 → Designers → KDDI Research [ja]. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
KCipher-2CertificationCRYPTREC1.00infobox
KCipher-2DesignersKDDI Research [ja]1.00infobox
KCipher-2DesignersKyushu University1.00infobox
KCipher-2First published2007; 19 years ago (2007)1.00infobox
KCipher-2Key sizes128 bits1.00infobox
KCipher-2State size640 bits1.00infobox
KCipher-2is astream cipher jointly developed by Kyushu University and Japanese telecommunications company KDDI0.90text

Related concept clusters Concept neighborhoods

The concept neighborhoods around KCipher-2 bring nearby vocabulary together. In this analysis, examples include Kddi, Kyushu and University. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • kyushu university
    • Kcipher-2
    • Kddi
    • Kyushu
    • University
    • Cipher
    • Company
    • Developed
    • Jointly
    • Stream
    • Telecommunications
    • Bits
    • Cryptrec
  • KCipher-2
    • Kddi
    • Kyushu
    • University
    • Cipher
    • Company
    • Developed
    • Jointly
    • Stream
    • Telecommunications
    • Bits
    • Cryptrec
    • Japanese
  • kcipher-2
    • Kddi
    • Kyushu
    • University
    • Cipher
    • Company
    • Developed
    • Jointly
    • Stream
    • Telecommunications
    • Bits
    • Cryptrec
    • Japanese
  • cryptography research and evaluation committees
    • Committees
    • Cryptography
    • Cryptrec
    • Evaluation
    • Iec
    • Iso
    • List
    • Recommended
    • Standardized
    • Japanese
    • Published
    • Research
  • advanced encryption standard
    • Aes
    • Algorithm
    • Around
    • Decrypt
    • Encrypt
    • Encryption
    • Faster
    • Length
    • Seven
    • Standard
    • Ten
    • Times
  • iso/iec
    • Ciphers
    • Committees
    • Cryptography
    • Evaluation
    • Iec
    • Iso
    • List
    • Recommended
    • Standardized
    • Cryptrec
    • Japanese
    • Published
  • stream cipher
    • Company
    • Developed
    • Jointly
    • Stream
    • Telecommunications
    • Japanese
    • Kcipher-2
    • Kddi
    • Kyushu
    • University
  • kddi
    • Kyushu
    • University
    • Stream
    • Telecommunications
    • Bits
    • Cryptrec
    • Key
    • Published
    • Research

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the KCipher-2 map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

KCipher-2

Nodes8
Edges7
Triples7
Avg. degree1.75
Density0.25
Components1

Source & methodology

TTTA analyzes the structure around KCipher-2 to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Standards & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — KCipher-2 · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.