The Secure Shell (SSH) Public Key File Format

Galbraith, Joseph; Thayer, Rodney

doi:10.17487/rfc4716

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…The essence of the proposed method for the formation of a multilingual associative-hierarchical portrait of a subject domain consists in iteratively expanding the initial multilingual dictionary of significant phrases to the hierarchy of multilingual synonymous series (synsets). The method can be stated as the following algorithm: 1) Compiling a collection of multilingual texts by means of a directed search in the databases of scientific documents (for example, Dimensions) by keywords; 2) Word processing by means of the Pullenti program, tokenization and metatoke nization; 3) Automatic generation of glossaries of terms and megalemms; expert quality control of generated dictionaries; 4) Automatic selection of topics on the basis of thematic modeling methods, the formation of a dictionary of subject areas, the selection of many keywords of subject areas, expert control, topic correction; 5) The formation of a dictionary of key terms mapped to topics; 6) Compilation of frequency dictionaries of domain terms (using statistical methods); 7) Compilation of frequency dictionaries of subject domain megalemmas; 8) Building multilingual synsets by combining BabelNet resources and a megalemma dictionary; 9) Building SVPs using a neural network model (a combination of Word2Vec with multilingual recurrent neural networks RNN) for texts that have undergone preprocessing; 10) Performing hierarchical clustering using Word2Vec and RNN, taking into account the hierarchical relationships of synsets; 11) The construction of an ordered list of candidates for hierarchical relationships from associative connections of the neural network model; viewing and correction of hierarchical relations is implemented on the basis of the Keywen Knowledge Architect resource [1].…”

Section: Technique Of Automatic Formation Of a Multilingual Associatimentioning

confidence: 99%

Research and development of linguo-statistical methods for forming a portrait of a subject area

Золотарев

2020

CPT2020 the 8th International Scientific Conference on Computing in Physics and Technology Proceedings

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The project aims to solve the fundamental scientific problem of semantic modeling, within the framework of which a methodology is developed for the automated identification of translation links (translation correspondences), as well as hierarchical, synonymous and associative links from Internet texts and the construction of multilingual associative hierarchical portraits of subject area (MAHPSA), in particular, on autonomous uninhabited underwater vehicles (UUV). Accounting for multilingual and heterogeneous resources allows you to get a more complete picture of what is happening in the subject area, to identify the sources of the origin of ideas, the speed and directions of their distribution, to identify significant documents and promising directions. The solution to the problem is based on an integrated approach that combines the methods of statistics, corpus linguistics and distributive semantics, and is implemented in technology that involves the development of linguo-statistical mechanisms for the formation of a multilingual associative hierarchical portrait of a subject area, which is a dictionary of significant terms of the subject area, the elements of which organized in synonymous series (synsets), including translational correspondences, as well as associative and hierarchical relationships.

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Section: Technique Of Automatic Formation Of a Multilingual Associatimentioning

confidence: 99%

Research and development of linguo-statistical methods for forming a portrait of a subject area

Золотарев

2020

CPT2020 the 8th International Scientific Conference on Computing in Physics and Technology Proceedings

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“…A public key with the following value in OpenSSH format [RFC4716] would appear as follows: This document updates the IANA registry "SSHFP RR Types for public key algorithms" and "SSHFP RR types for fingerprint types" [SSHFPVALS].…”

Section: Rsa Public Keymentioning

confidence: 99%

Use of the SHA-256 Algorithm with RSA, Digital Signature Algorithm (DSA), and Elliptic Curve DSA (ECDSA) in SSHFP Resource Records

Surý¹

2012

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This document updates the IANA registries in RFC 4255, which defines SSHFP, a DNS Resource Record (RR) that contains a standard Secure Shell (SSH) key fingerprint used to verify SSH host keys using DNS Security Extensions (DNSSEC). This document defines additional options supporting SSH public keys applying the Elliptic Curve Digital Signature Algorithm (ECDSA) and the implementation of fingerprints computed using the SHA-256 message digest algorithm in SSHFP Resource Records. Status of This Memo This is an Internet Standards Track document. This document is a product of the Internet Engineering Task Force (IETF). It represents the consensus of the IETF community. It has received public review and has been approved for publication by the fInternet Engineering Steering Group (IESG). Further information on Internet Standards is available in Section 2 of RFC 5741. Information about the current status of this document, any errata, and how to provide feedback on it may be obtained at http://www.rfc-editor.org/info/rfc6594.

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