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Ontology-Based Security Tool for Critical Cyber-Physical Systems

Authors:

Abdelkader Magdy Shaaban,

Thomas Gruber,

Christoph SchmittnerAuthors Info & Claims

SPLC '19: Proceedings of the 23rd International Systems and Software Product Line Conference - Volume B

Pages 207 - 210

https://doi.org/10.1145/3307630.3342397

Published: 09 September 2019 Publication History

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Abstract

Industry 4.0 considers as a new advancement concept of the industrial revolution, which introduces a full utilization of Internet technologies. This concept aims to combine diverse technological resources into the industry field, which enables the communication between two worlds: the physical and the cyber one. Cyber-physical Systems are one of the special forces that integrate and build a variety of existing technologies and components. The diversity of components and technologies creates new security threats that can exploit vulnerabilities to attack a critical system. This work introduces an ontology-based security tool-chain able to be integrated with the initial stages of the development process of critical systems. The tool detects the potential threats, and apply the suitable security requirements which can address these threats. Eventually, it uses the ontology approach to ensure that the security requirements are fulfilled.

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Hollerer SSauter TKastner W(2024)A Survey of Ontologies Considering General Safety, Security, and Operation Aspects in OTIEEE Open Journal of the Industrial Electronics Society10.1109/OJIES.2024.34411125(861-885)Online publication date: 2024
https://doi.org/10.1109/OJIES.2024.3441112
Nguyen G(2023)A configurable approach to cyber-physical systems fuzzingProceedings of the 27th ACM International Systems and Software Product Line Conference - Volume B10.1145/3579028.3609005(1-5)Online publication date: 28-Aug-2023
https://dl.acm.org/doi/10.1145/3579028.3609005
Javaid MHaleem ASingh RSuman R(2023)An integrated outlook of Cyber–Physical Systems for Industry 4.0: Topical practices, architecture, and applicationsGreen Technologies and Sustainability10.1016/j.grets.2022.1000011:1(100001)Online publication date: Jan-2023
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Information & Contributors

Information

Published In

SPLC '19: Proceedings of the 23rd International Systems and Software Product Line Conference - Volume B

September 2019

252 pages

ISBN:9781450366687

DOI:10.1145/3307630

Editors:
Carlos Cetina
University San Jorge, Spain
,
Oscar Díaz
University of the Basque Country, Spain
,
Laurence Duchien
University Lille, France
,
Marianne Huchard
University of Montpellier, France
,
Rick Rabiser
Johannes Kepler University Linz, Austria
,
Camille Salinesi
University Paris 1 Panthéon-Sorbonne, France
,
Christoph Seidl
TU Braunschweig, Germany
,
Xhevahire Tërnava
Sorbonne University, France
,
Leopoldo Teixeira
Federal University of Pernambuco, Brazil
,
Thomas Thüm
TU Braunschweig, Germany
,
Tewfik Ziadi
Sorbonne University, France

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 September 2019

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SPLC 2019

SPLC 2019: 23rd International Systems and Software Product Line Conference

September 9 - 13, 2019

Paris, France

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Overall Acceptance Rate 167 of 463 submissions, 36%

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Cited By

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Hollerer SSauter TKastner W(2024)A Survey of Ontologies Considering General Safety, Security, and Operation Aspects in OTIEEE Open Journal of the Industrial Electronics Society10.1109/OJIES.2024.34411125(861-885)Online publication date: 2024
https://doi.org/10.1109/OJIES.2024.3441112
Nguyen G(2023)A configurable approach to cyber-physical systems fuzzingProceedings of the 27th ACM International Systems and Software Product Line Conference - Volume B10.1145/3579028.3609005(1-5)Online publication date: 28-Aug-2023
https://dl.acm.org/doi/10.1145/3579028.3609005
Javaid MHaleem ASingh RSuman R(2023)An integrated outlook of Cyber–Physical Systems for Industry 4.0: Topical practices, architecture, and applicationsGreen Technologies and Sustainability10.1016/j.grets.2022.1000011:1(100001)Online publication date: Jan-2023
https://doi.org/10.1016/j.grets.2022.100001
May R(2022)Security and Configurable Storage Systems in Industry 4.0 Environments: A Systematic Literature StudyOpen Conference Proceedings10.52825/ocp.v2i.1492(151-156)Online publication date: 15-Dec-2022
https://doi.org/10.52825/ocp.v2i.149
Qaswar FRahmah MRaza MNoraziah AAlkazemi BFauziah ZHassan MSharaf A(2022)Applications of Ontology in the Internet of Things: A Systematic AnalysisElectronics10.3390/electronics1201011112:1(111)Online publication date: 27-Dec-2022
https://doi.org/10.3390/electronics12010111
Tkachenko OTkachenko KTkachenko O(2022)CLOUD TECHNOLOGIES IN LEARNING: ONTOLOGICAL APPROACHCybersecurity: Education, Science, Technique10.28925/2663-4023.2022.17.1121271:17(112-127)Online publication date: 2022
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Varela-Vaca ÁRosado DSánchez LGómez-López MGasca RFernández-Medina E(2021)CARMENComputers in Industry10.1016/j.compind.2021.103524132:COnline publication date: 1-Nov-2021
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Guskov GRomanov AFilippov A(2021)The Knowledge Base for Automating the Architecting of Software SystemsComputational Science and Its Applications – ICCSA 202110.1007/978-3-030-86970-0_20(272-287)Online publication date: 11-Sep-2021
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Varela-Vaca ÁRosado DSánchez LGómez-López MGasca RFernández-Medina E(2020)Definition and Verification of Security Configurations of Cyber-Physical SystemsComputer Security10.1007/978-3-030-64330-0_9(135-155)Online publication date: 17-Dec-2020
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Yamada DBernardi FMiyoshi Nde Lima IVinci AYoshiura VAlves D(2020)Ontology-Based Inference for Supporting Clinical Decisions in Mental HealthComputational Science – ICCS 202010.1007/978-3-030-50423-6_27(363-375)Online publication date: 15-Jun-2020
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