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Explore the main themes, entities and connections around EdDSA. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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Ed25519
Summary
Ed448
Overview
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
- Designers
- Daniel J. Bernstein, Niels Duif, Tanja Lange, Peter Schwabe, Bo-Yin Yang, et al.
- First published
- 26 September 2011 (14 years ago) (2011-09-26)
- Structure
- Elliptic-curve cryptography
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
- Public-key cryptography
- Digital signature
- Schnorr signature
- Twisted Edwards curves Twisted Edwards curve
- Daniel J. Bernstein
- Tanja Lange
- Bo-Yin Yang Bo-Yin Yang?action=edit&redlink=1
- Reference implementation
- Public-domain software
Summary
- Finite field
- Elliptic curve Elliptic-curve cryptography
- F q {\displaystyle \mathbb {F} _{q}} -rational points Rational point
- Cryptographic hash function
- Pollard's rho algorithm for logarithms
- Hasse's theorem Hasse's theorem on elliptic curves
- Random oracle
- Concatenation
- Little-endian
Ed25519
- SHA-512
- Curve25519
- Birationally equivalent
- Montgomery curve
- X86-64
- Nehalem Nehalem (microarchitecture)
- Westmere Westmere (microarchitecture)
- Symmetric ciphers Symmetric-key algorithm
- Side-channel attack
- Nonce Cryptographic nonce
- DSA Digital Signature Algorithm
- ECDSA
- Sony PlayStation 3
- RFC RFC (identifier)
- OpenSSH
- GnuPG
- Signify Signify (OpenBSD)
- OpenBSD
- FIPS Federal Information Processing Standards
- Apple Watch
- IPhone
- IKEv2
- Botan Botan (programming library)
- Crypto++
- CryptoNote
- Cryptocurrency
- Protocol Cryptographic protocol
- Dropbear SSH Dropbear (software)
- Java Development Kit
- Libgcrypt
Ed448
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.EdDSA
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.
EdDSA
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
signature ed25519 displaystyle scheme curve edwards daniel bernstein tanja lange bo-yin yang ed448 implementation mathbb ell hash using twisted schemes
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 |
|---|---|---|---|---|
| EdDSA | Designers | Daniel J. Bernstein, Niels Duif, Tanja Lange, Peter Schwabe, Bo-Yin Yang, et al. | 1.00 | infobox |
| EdDSA | First published | 26 September 2011 (14 years ago) (2011-09-26) | 1.00 | infobox |
| EdDSA | Structure | Elliptic-curve cryptography | 1.00 | infobox |
| EdDSA | related to Ed25519 | Ed25519 | 0.60 | section |
| EdDSA | related to Ed25519 | SHA-512 | 0.60 | section |
| EdDSA | related to Ed25519 | SHA-2 | 0.60 | section |
| EdDSA | related to Ed25519 | Curve25519 | 0.60 | section |
| EdDSA | related to Ed25519 | Edwards | 0.60 | section |
| EdDSA | related to Ed448 | Ed448 | 0.60 | section |
| EdDSA | related to Ed448 | RFC | 0.60 | section |
| EdDSA | related to Ed448 | SHAKE256 | 0.60 | section |
| EdDSA | related to Ed448 | Edwards | 0.60 | section |
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.