Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
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…
Standards & Companies
Explore the main themes, entities and connections around KCipher-2. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. 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.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
japanese kddi cryptrec kyushu university published research key 128 bits stream cipher jointly developed telecommunications company standardized iso iec 18033
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| KCipher-2 | Certification | CRYPTREC | 1.00 | infobox |
| KCipher-2 | Designers | KDDI Research [ja] | 1.00 | infobox |
| KCipher-2 | Designers | Kyushu University | 1.00 | infobox |
| KCipher-2 | First published | 2007; 19 years ago (2007) | 1.00 | infobox |
| KCipher-2 | Key sizes | 128 bits | 1.00 | infobox |
| KCipher-2 | State size | 640 bits | 1.00 | infobox |
| KCipher-2 | is a | stream cipher jointly developed by Kyushu University and Japanese telecommunications company KDDI | 0.90 | text |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.