Democratizing Systems Security.

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Title: Democratizing Systems Security.
Authors: Dove, Rick1 (AUTHOR) dove@parshift.com, Winstead, Mark2 (AUTHOR) mwinstead@mitre.org, Dunlap, Holy2 (AUTHOR) hdunlap@mitre.org, Hause, Matthew3 (AUTHOR) MHause@systemxi.com, Scalco, Aleksandra4 (AUTHOR) aleksandra.scalco@incose.net, Willett, Keith5 (AUTHOR) kwillett@ctntechnologies.com, Williams, Adam D.6 (AUTHOR) adwilli@sandia.gov, Wilson, Beth1 (AUTHOR) wilsondrbeth@aol.com
Source: Incose International Symposium. Jul2023, Vol. 33 Issue 1, p86-97. 12p.
Subjects: Security systems, Systems engineering, Systems design, Requirements engineering
Abstract: As systems security joins the top concerns of systems engineering, the availability and affordability of already scarce security expertise presents a resource barrier and raises questions about the nature of competency needed in the systems engineering team. Workshops in 2022 exploring the eleven strategies outlined in the 2021 roadmap for Security in the Future of Systems Engineering revealed one strategy as centrally synergistic with all the other ten: Stakeholder Alignment. Investigating means and effects of aligning stakeholders on security requirements led to the understanding that security expressed as loss‐driven needs and capabilities would be accessible to everyone, independent of how those needs and capabilities would be realized. This article makes a case for achieving stakeholder security alignment as a means to efffectualize security as a foundational perspective in system design and actualize security proficiency in the SE team. [ABSTRACT FROM AUTHOR]
Copyright of Incose International Symposium is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
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  Data: Democratizing Systems Security.
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  Data: <searchLink fieldCode="JN" term="%22Incose+International+Symposium%22">Incose International Symposium</searchLink>. Jul2023, Vol. 33 Issue 1, p86-97. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Security+systems%22">Security systems</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+engineering%22">Systems engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+design%22">Systems design</searchLink><br /><searchLink fieldCode="DE" term="%22Requirements+engineering%22">Requirements engineering</searchLink>
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  Data: As systems security joins the top concerns of systems engineering, the availability and affordability of already scarce security expertise presents a resource barrier and raises questions about the nature of competency needed in the systems engineering team. Workshops in 2022 exploring the eleven strategies outlined in the 2021 roadmap for Security in the Future of Systems Engineering revealed one strategy as centrally synergistic with all the other ten: Stakeholder Alignment. Investigating means and effects of aligning stakeholders on security requirements led to the understanding that security expressed as loss‐driven needs and capabilities would be accessible to everyone, independent of how those needs and capabilities would be realized. This article makes a case for achieving stakeholder security alignment as a means to efffectualize security as a foundational perspective in system design and actualize security proficiency in the SE team. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Incose International Symposium is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jul2023
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