Quantifying DDS-cerberus network control overhead.
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| Title: | Quantifying DDS-cerberus network control overhead. |
|---|---|
| Authors: | Park, Andrew T.1 (AUTHOR) andrew.park075@gmail.com, Peck, Nathaniel1 (AUTHOR), Dill, Richard1 (AUTHOR), Hodson, Douglas D.1 (AUTHOR), Grimaila, Michael R.1 (AUTHOR), Henry, Wayne C.1 (AUTHOR) |
| Source: | Journal of Supercomputing. Mar2023, Vol. 79 Issue 4, p3616-3642. 27p. |
| Subjects: | Network operating system, Performance-based design, Quality of service, Data distribution, Data transmission systems |
| Abstract: | Securing distributed device communication is critical because the private industry and the military depend on these resources. One area that adversaries target is the middleware, which is the medium that connects different systems. This paper evaluates a novel security layer, DDS-Cerberus (DDS-C), that protects in-transit data and improves communication efficiency on data-first distribution systems. This research contributes a distributed robotics operating system testbed and designs a multifactorial performance-based experiment to evaluate DDS-C efficiency and security by assessing total packet traffic generated in a robotics network. The performance experiment follows a 2:1 publisher to subscriber node ratio, varying the number of subscribers and publisher nodes from three to eighteen. By categorizing the network traffic from these nodes into either data message, security, or discovery+ with Quality of Service (QoS) best effort and reliable, the mean security traffic from DDS-C has minimal impact to Data Distribution Service (DDS) operations compared to other network traffic. The results reveal that applying DDS-C to a representative distributed network robotics operating system network does not impact performance. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Supercomputing is the property of Springer Nature 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.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 161549560 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Quantifying DDS-cerberus network control overhead. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Park%2C+Andrew+T%2E%22">Park, Andrew T.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> andrew.park075@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Peck%2C+Nathaniel%22">Peck, Nathaniel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dill%2C+Richard%22">Dill, Richard</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hodson%2C+Douglas+D%2E%22">Hodson, Douglas D.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Grimaila%2C+Michael+R%2E%22">Grimaila, Michael R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Henry%2C+Wayne+C%2E%22">Henry, Wayne C.</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>. Mar2023, Vol. 79 Issue 4, p3616-3642. 27p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Network+operating+system%22">Network operating system</searchLink><br /><searchLink fieldCode="DE" term="%22Performance-based+design%22">Performance-based design</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+of+service%22">Quality of service</searchLink><br /><searchLink fieldCode="DE" term="%22Data+distribution%22">Data distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Data+transmission+systems%22">Data transmission systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Securing distributed device communication is critical because the private industry and the military depend on these resources. One area that adversaries target is the middleware, which is the medium that connects different systems. This paper evaluates a novel security layer, DDS-Cerberus (DDS-C), that protects in-transit data and improves communication efficiency on data-first distribution systems. This research contributes a distributed robotics operating system testbed and designs a multifactorial performance-based experiment to evaluate DDS-C efficiency and security by assessing total packet traffic generated in a robotics network. The performance experiment follows a 2:1 publisher to subscriber node ratio, varying the number of subscribers and publisher nodes from three to eighteen. By categorizing the network traffic from these nodes into either data message, security, or discovery+ with Quality of Service (QoS) best effort and reliable, the mean security traffic from DDS-C has minimal impact to Data Distribution Service (DDS) operations compared to other network traffic. The results reveal that applying DDS-C to a representative distributed network robotics operating system network does not impact performance. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Supercomputing is the property of Springer Nature 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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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11227-022-04770-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 3616 Subjects: – SubjectFull: Network operating system Type: general – SubjectFull: Performance-based design Type: general – SubjectFull: Quality of service Type: general – SubjectFull: Data distribution Type: general – SubjectFull: Data transmission systems Type: general Titles: – TitleFull: Quantifying DDS-cerberus network control overhead. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Park, Andrew T. – PersonEntity: Name: NameFull: Peck, Nathaniel – PersonEntity: Name: NameFull: Dill, Richard – PersonEntity: Name: NameFull: Hodson, Douglas D. – PersonEntity: Name: NameFull: Grimaila, Michael R. – PersonEntity: Name: NameFull: Henry, Wayne C. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 09208542 Numbering: – Type: volume Value: 79 – Type: issue Value: 4 Titles: – TitleFull: Journal of Supercomputing Type: main |
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