poster

The STAC (security toolbox: attacks & countermeasures) ontology

Authors:

Amelie Gyrard,

Christian Bonnet,

Karima BoudaoudAuthors Info & Claims

WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web

Pages 165 - 166

https://doi.org/10.1145/2487788.2487869

Published: 13 May 2013 Publication History

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Abstract

We present a security ontology to help non-security expert software designers or developers to: (1) design secure software and, (2) to understand and be aware of main security concepts and issues. Our security ontology defines the main security concepts such as attacks, countermeasures, security properties and their relationships. Countermeasures can be cryptographic concepts (encryption algorithm, key management, digital signature, hash function), security tools or security protocols. The purpose of this ontology is to be reused in numerous domains such as security of web applications, network management or communication networks (sensor, cellular and wireless). The ontology and a user interface (to use the ontology) are available online.

References

[1]

Security ontology. http://semanticweb.org/wiki/File:OntologySecurity.owl.

Google Scholar

[2]

Security ontology. http://preciosa.informatik.hu-berlin.de/ontology/security.owl.

Google Scholar

[3]

G. Denker, L. Kagal, and T. Finin. Security in the semantic web using owl. Information Security Technical Report, 10(1):51--58, 2005.

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Google Scholar

[4]

A. Herzog, N. Shahmehri, and C. Duma. An ontology of information security. International Journal of Information Security and Privacy (IJISP), 1(4):1--23, 2007.

Crossref

Google Scholar

[5]

A. Kim, J. Luo, and M. Kang. Security ontology for annotating resources. On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE, pages 1483--1499, 2005.

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Cited By

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Hu XCheng DChen JJin XWu B(2022)Multiontology Construction and Application of Threat Model Based on Adversarial Attack and Defense Under ISO/IEC 27032IEEE Access10.1109/ACCESS.2022.322063710(117955-117972)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3220637
Yeboah-Ofori AIsmail USwidurski TOpoku-Boateng F(2021)Cyber Threat Ontology and Adversarial Machine Learning Attacks: Analysis and Prediction Perturbance2021 International Conference on Computing, Computational Modelling and Applications (ICCMA)10.1109/ICCMA53594.2021.00020(71-77)Online publication date: Jul-2021
https://doi.org/10.1109/ICCMA53594.2021.00020
Pastuszuk JBurek PKsiȩżopolski B(2021)Cybersecurity Ontology for Dynamic Analysis of IT SystemsProcedia Computer Science10.1016/j.procs.2021.08.104192(1011-1020)Online publication date: 2021
https://doi.org/10.1016/j.procs.2021.08.104
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Index Terms

The STAC (security toolbox: attacks & countermeasures) ontology
1. Security and privacy

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Information & Contributors

Information

Published In

WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web

May 2013

1636 pages

ISBN:9781450320382

DOI:10.1145/2487788

General Chairs:
Daniel Schwabe
PUC-Rio - Brazil
,
Virgílio Almeida
UFMG - Brazil
,
Hartmut Glaser
CGI.br - Brazil
,
Program Chairs:
Ricardo Baeza-Yates
Yahoo! Labs - Spain & Chile
,
Sue Moon
KAIST - South Korea

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 May 2013

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Poster

Conference

WWW '13

Sponsor:

NICBR
CGIBR

WWW '13: 22nd International World Wide Web Conference

May 13 - 17, 2013

Rio de Janeiro, Brazil

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WWW '13 Companion Paper Acceptance Rate 831 of 1,250 submissions, 66%;

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

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Hu XCheng DChen JJin XWu B(2022)Multiontology Construction and Application of Threat Model Based on Adversarial Attack and Defense Under ISO/IEC 27032IEEE Access10.1109/ACCESS.2022.322063710(117955-117972)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3220637
Yeboah-Ofori AIsmail USwidurski TOpoku-Boateng F(2021)Cyber Threat Ontology and Adversarial Machine Learning Attacks: Analysis and Prediction Perturbance2021 International Conference on Computing, Computational Modelling and Applications (ICCMA)10.1109/ICCMA53594.2021.00020(71-77)Online publication date: Jul-2021
https://doi.org/10.1109/ICCMA53594.2021.00020
Pastuszuk JBurek PKsiȩżopolski B(2021)Cybersecurity Ontology for Dynamic Analysis of IT SystemsProcedia Computer Science10.1016/j.procs.2021.08.104192(1011-1020)Online publication date: 2021
https://doi.org/10.1016/j.procs.2021.08.104
Yeboah-Ofori AMouratidis HIsmai UIslam SPapastergiou S(2021)Cyber Supply Chain Threat Analysis and Prediction Using Machine Learning and OntologyArtificial Intelligence Applications and Innovations10.1007/978-3-030-79150-6_41(518-530)Online publication date: 22-Jun-2021
https://doi.org/10.1007/978-3-030-79150-6_41
Wen SKatt B(2019)Managing Software Security Knowledge in Context: An Ontology Based ApproachInformation10.3390/info1006021610:6(216)Online publication date: 20-Jun-2019
https://doi.org/10.3390/info10060216
Wen SKatt B(2019)Development of Ontology-Based Software Security Learning System with Contextualized Learning ApproachJournal of Advances in Information Technology10.12720/jait.10.3.81-9010:3(81-90)Online publication date: 2019
https://doi.org/10.12720/jait.10.3.81-90
Wen SKatt B(2018)An Ontology-Based Context Model for Managing Security Knowledge in Software DevelopmentProceedings of the 23rd Conference of Open Innovations Association FRUCT10.5555/3299905.3299961(416-424)Online publication date: 19-Nov-2018
https://dl.acm.org/doi/10.5555/3299905.3299961
Wen SKatt B(2018)An Ontology-Based Context Model for Managing Security Knowledge in Software Development2018 23rd Conference of Open Innovations Association (FRUCT)10.23919/FRUCT.2018.8588107(416-424)Online publication date: Nov-2018
https://doi.org/10.23919/FRUCT.2018.8588107
de Franco Rosa FJino MBonacin R(2018)Towards an Ontology of Security Assessment: A Core Model ProposalInformation Technology – New Generations10.1007/978-3-319-77028-4_12(75-80)Online publication date: 2018
https://doi.org/10.1007/978-3-319-77028-4_12
Singh VPandey S(2018)Cloud Security Ontology (CSO)Cloud Computing for Geospatial Big Data Analytics10.1007/978-3-030-03359-0_4(81-109)Online publication date: 11-Dec-2018
https://doi.org/10.1007/978-3-030-03359-0_4
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