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automated-identification-of-security-relevant-configuration-settings-using-nlp

This repository is part of the paper "Automated Identification of Security-Relevant Configuration Settings Using NLP" accepted at the Industry Showcase track at the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE). https://conf.researchr.org/track/ase-2022/ase-2022-industry-showcase.

https://github.com/tum-i4/automated-identification-of-security-relevant-configuration-settings-using-nlp

Science Score: 52.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
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    Academic publication links
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    Academic email domains
  • ✓
    Institutional organization owner
    Organization tum-i4 has institutional domain (www.cs.cit.tum.de)
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (4.9%) to scientific vocabulary

Keywords

bert configuration-management hardening nlp scap scapolite security
Last synced: 6 months ago · JSON representation ·

Repository

This repository is part of the paper "Automated Identification of Security-Relevant Configuration Settings Using NLP" accepted at the Industry Showcase track at the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE). https://conf.researchr.org/track/ase-2022/ase-2022-industry-showcase.

Basic Info
  • Host: GitHub
  • Owner: tum-i4
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 854 KB
Statistics
  • Stars: 1
  • Watchers: 6
  • Forks: 1
  • Open Issues: 1
  • Releases: 1
Topics
bert configuration-management hardening nlp scap scapolite security
Created almost 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation Authors

README.md

Automated Identification of Security-Relevant Configuration Settings Using NLP

This repository is part of the paper Automated Identification of Security-Relevant Configuration Settings Using NLP accepted at the Industry Showcase track at the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE).

The code can be found as Jupyter Notebooks on Kaggle

or in the code folder.

Contact

If you have any questions, please create an issue or contact Patrick Stöckle.

Owner

  • Name: Chair Software and Systems Engineering
  • Login: tum-i4
  • Kind: organization
  • Email: github.i04.in@tum.de
  • Location: Munich, Germany

Citation (CITATION.cff) 

cff-version: 1.2.0
title: >-
  Automated-Identification-of-Security-Relevant-Configuration-Settings-Using-NLP
message: >-
  Please cite this software using these metadata.
type: dataset
authors:
- given-names: Patrick
  family-names: Stöckle
  email: patrick.stoeckle@tum.de
  affiliation: Technical University of Munich
  orcid: 'https://orcid.org/0000-0003-0193-5871'
  city: Munich
  country: DE
  website: https://www.cs.cit.tum.de/en/sse/stoeckle/
- given-names: Theresa
  family-names: Wasserer
  email: theresa.wasserer@tum.de
  affiliation: Technical University of Munich
  country: DE
  orcid: https://orcid.org/0000-0001-9699-0587
- given-names: Bernd
  family-names: Grobauer
  email: bernd.grobauer@siemens.com
  affiliation: Siemens AG
  country: DE
  orcid: https://orcid.org/0000-0001-9699-0587
- given-names: Alexander
  family-names: Pretschner
  email: alexander.pretschner@tum.de
  affiliation: Technical University of Munich
  orcid: 'https://orcid.org/0000-0002-5573-1201'
  city: Munich
  country: DE
  website: https://www.cs.cit.tum.de/en/sse/people/alexander-pretschner/
repository-code: 'https://github.com/tum-i4/Automated-Identification-of-Security-Relevant-Configuration-Settings-Using-NLP'
keywords:
  - Hardening
  - Security Configuration
  - Natural Language Processing
preferred-citation:
  doi: 10.1145/3551349.3559499
  isbn: '9781450394758'
  keywords:
    - Hardening
    - Security Configuration
    - Natural Language Processing
  status: advance-online
  title: Automated Identification of Security-Relevant Configuration Settings Using NLP
  year: 2022
  publisher:
    name: Association for Computing Machinery
    country: US
    region: NY
    city: New York
  conference:
    name: "ASE '22"
    city: Rochester
    region: MI
    country: US
    date-start: 2022-10-10
    date-end: 2022-10-14
    website: https://conf.researchr.org/home/ase-2022
  collection-type: proceedings
  collection-title: 'Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering'
  authors:
  - given-names: Patrick
    family-names: Stöckle
    email: patrick.stoeckle@tum.de
    affiliation: Technical University of Munich
    orcid: 'https://orcid.org/0000-0003-0193-5871'
    city: Munich
    country: DE
    website: https://www.cs.cit.tum.de/en/sse/stoeckle/
  - given-names: Theresa
    family-names: Wasserer
    email: theresa.wasserer@tum.de
    affiliation: Technical University of Munich
    country: DE
    orcid: https://orcid.org/0000-0001-9699-0587
  - given-names: Bernd
    family-names: Grobauer
    email: bernd.grobauer@siemens.com
    affiliation: Siemens AG
    country: DE
    orcid: https://orcid.org/0000-0001-9699-0587
  - given-names: Alexander
    family-names: Pretschner
    email: alexander.pretschner@tum.de
    affiliation: Technical University of Munich
    orcid: 'https://orcid.org/0000-0002-5573-1201'
    city: Munich
    country: DE
    website: https://www.cs.cit.tum.de/en/sse/people/alexander-pretschner/
  type: conference-paper
  url: https://mediatum.ub.tum.de/doc/1685448/1685448.pdf

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