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Explore the main themes, entities and connections around Digital signature. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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History
15 related topics
Some digital signature algorithms
25 related topics
Applications
12 related topics
Additional security precautions
14 related topics
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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
- Mathematical Mathematics
- Message authentication code
- Public-key cryptography
- Software distribution
- Contract management software
- Tampering Tampering (crime)
- Handwritten signature Signature
- Bitstring
- Forgery
- Electronic signatures Electronic signature
- Replay attack
- Bitcoin
Definition
- Key generation
- Existential unforgeability under chosen-message attack Digital signature forgery
- Probabilistic polynomial-time
- Unary number Unary numeral system
- Computational complexity theory
- Adversary Adversary (cryptography)
- Negl Negligible function
- Oracle Oracle machine
History
- Whitfield Diffie
- Martin Hellman
- Ronald Rivest
- Adi Shamir
- Len Adleman
- RSA RSA (algorithm)
- Lotus Notes
- Lamport signatures Lamport signature
- Merkle signatures Merkle signature scheme
- Rabin signatures Rabin signature
- Shafi Goldwasser
- Silvio Micali
- GMR signature scheme GMR (cryptography)
- Moni Naor
- Moti Yung
Method
- Euler's totient function
- Hashed Cryptographic hash function
- Padded Padding (cryptography)
- Trapdoor function
- Hash-then-sign Full domain hash
- Chosen-plaintext attack
Applications
- Electronic document
- United States Government Printing Office
- Penn State
- University of Chicago
- Stanford Stanford University
- Branch office
- Encryption
- Selective modifications like changing a digit Malleability (cryptography)
- Non-repudiation
- Revocation Certificate revocation
- Certificate revocation list
- Online Certificate Status Protocol
Notions of security
Additional security precautions
- Security Computer insecurity
- Smart card
- Ross Anderson Ross J. Anderson
- Personal identification number
- Two-factor authentication
- Numeric keypad
- Keystroke logger Keystroke logging
- EAL3 Evaluation Assurance Level
- Cloud Cloud computing
- FIPS 140-2
- FIPS 201
- WYSIWYS
- Peter Landrock
- Torben Pedersen Cryptomathic
Some digital signature algorithms
- DSA Digital Signature Algorithm
- ECDSA Elliptic Curve Digital Signature Algorithm
- EdDSA
- SHA Secure Hash Algorithm
- ElGamal signature scheme
- Schnorr signature
- Pointcheval–Stern signature algorithm
- Rabin signature algorithm
- Pairing
- BLS Boneh–Lynn–Shacham
- Quantum-resistant scheme Post-quantum cryptography
- LWE Learning with errors
- Lattices Lattice-based cryptography
- Falcon Falcon (signature scheme)
- CVP Closest vector problem
- SPHINCS+
- Hash functions Hash function
- Undeniable signatures Undeniable signature
- Aggregate signature Aggregate signature?action=edit&redlink=1
- Ru Множественная подпись
- Mihir Bellare
- Gregory Neven Gregory Neven?action=edit&redlink=1
- Signatures with efficient protocols
- Zero-knowledge proofs
- Secure computation
The current state of use – legal and practical
Industry standards
- Automotive Network Exchange
- Healthcare industry
- 1999 EU digital signature directive Electronic Signatures Directive
- 2014 EU follow-on legislation EIDAS
- Key escrow
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.Digital signature
Nodes121
Edges120
Triples145
Avg. degree1.98
Density0.016529
Components1
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.
Digital signature
Top relations
related to Further reading · 35
Digital signature → Buckley, Chapman, David Whitaker, Dennis Campbell, Digital Evidence, Digital Signatures, E-Commerce, Edition, Electronic Signature Law Review, Electronic Signatures, Electronic Signatures Authentication Technology, Free, Hall/CRC Press, Identities Law, Introduction, Jeremiah, John, Katz, Kromer, Law
has application · 17
Digital signature → An, As, Below, Chicago, For, GPO, One, PC, Penn State, Printing Office, Stanford, The, The United States Government, This, To, Universities, University
related to history · 15
Digital signature → Adi Shamir, Hash, In, Lamport, Len Adleman, Lotus Notes, Martin Hellman, Merkle, Other, Rabin, Ronald Rivest, RSA, Soon, The, Whitfield Diffie
related to The current state of use – legal and practical · 15
Digital signature → An, Bob, Closed' PKI, Commercial PKI, For, If, Most, PKI, PKIs, Quality, Some, Such, The, This, Users
related to WYSIWYS · 11
Digital signature → From, In, It, Pan-European, Peter Landrock, Technically, The, Torben Pedersen, What You See Is, What You Sign, WYSIWYS
related to Non-repudiation · 9
Digital signature → By, Checking, Non-repudiation, Note, Of, Online Certificate Status Protocol, Public, Similarly, Very
related to Using separate key pairs for signing and encryption · 9
Digital signature → After, EU, For, Generally, If, In, Only, Signing, Using
related to Method · 8
Digital signature → Euler's, In, One, RSA, The, This, To, Used
related to Industry standards · 4
Digital signature → Automotive Network Exchange, SAFE-BioPharma Association, Some, These
related to Notions of security · 4
Digital signature → Goldwasser, In, Micali, Rivest
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 digital key message signatures private public signed signing scheme card forgery algorithm security attack document used smart may sign
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 |
|---|---|---|---|---|
| Digital signature | is a | mathematical scheme for verifying the authenticity of digital messages or documents | 0.90 | text |
| a Bitcoin exchange to detect replays | instance of | If signatures are misused as transaction IDs in an attempt by a bank-like system | 0.80 | text |
| this can be exploited to replay transactions.Authenticating a public key | instance of | If signatures are misused as transaction IDs in an attempt by a bank-like system | 0.80 | text |
| BLSCRYSTALS-Dilithium | instance of | Stern signature algorithmRabin signature algorithmPairing-based schemes | 0.80 | text |
| a quantum-resistant scheme based on LWE in latticesFalcon | instance of | Stern signature algorithmRabin signature algorithmPairing-based schemes | 0.80 | text |
| a quantum-resistant scheme based on CVP in latticesSPHINCS | instance of | Stern signature algorithmRabin signature algorithmPairing-based schemes | 0.80 | text |
| zero-knowledge proofs or secure computation | instance of | are signature schemes that facilitate efficient cryptographic protocols | 0.80 | text |
| Digital signature | has application | As | 0.60 | section |
| Digital signature | has application | The United States Government | 0.60 | section |
| Digital signature | has application | Printing Office | 0.60 | section |
| Digital signature | has application | GPO | 0.60 | section |
| Digital signature | has application | Universities | 0.60 | section |
No triples extracted yet.
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.
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