research-article

A survivable critical infrastructure control application

Authors:

A. Serageldin,

A. Krings,

A. Abdel-RahimAuthors Info & Claims

CSIIRW '13: Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop

Article No.: 34, Pages 1 - 4

https://doi.org/10.1145/2459976.2460015

Published: 08 January 2013 Publication History

Get Access

Abstract

A microcontroller-based system is described that utilizes real-time distributed sensor data to adapt a critical infrastructure control application to reflect current environment conditions. The system monitors the behavior of its software execution based on real-time analysis of certified frequency spectra and call-graph transition validations in order to detect and react to uncertified behavior and state transitions. The real-time data used to adapt the application is geographically distributed and redundant. The overall system is outlined with focus on the contingency management of the system. Finally, a basic reliability analysis is given as a tool to evaluate the impact of fail rate assumptions.

References

[1]

The Clarus System: http://www.clarus-system.com/

Google Scholar

[2]

RITA Intelligent Transportation Systems Joint Program Office, Clarus Quality Checking Algorithm Documentation Report, Final Report, December 21, 2010, FHWA-JPO-11-075.

Google Scholar

[3]

A. Krings, et al., A Two-Layer Approach to Survivability of Networked Computing Systems, Intl. Conf. on Advances in Infrastructure for Electronic Business, Science, and Education on the Internet, L'Aquila, Italy, Aug 06 - Aug 12, 2001.

Google Scholar

[4]

A. Krings, Survivable Systems, Chapter 5, Information Assurance: Dependability and Security in Networked Systems, Morgan Kaufmann Publishers, ISBN: 978-0-12-373566-9, 2008.

Google Scholar

[5]

A. Krings, V. Balogun, S. Alshomrani, A. Abdel-Rahim, and M. Dixon, A Measurement-based Design and Evaluation Methodology for Embedded Control Systems, Proc. 7th Annual Cyber Security and Information Intelligence Research Workshop, CSIIRW'11, Oct. 12--14, 2011, ORNL.

Digital Library

Google Scholar

[6]

A. Krings, A. Serageldin and A. Abdel-Rahim, A Prototype for a Real-Time Weather Responsive System, Proc. Intelligent Transportation Systems Conference, ITSC2012, Anchorage, Alaska, 16--19 September, 2012.

Crossref

Google Scholar

[7]

John Munson, Axel Krings and Robert Hiromoto, The Architecture of a Reliable Software Monitoring System for Embedded Software Systems, ANS 2006 Winter Meeting and Nuclear Technology Expo, 10 pages, 2006.

Google Scholar

[8]

Brian Randell, and Jie Xu, The evolution of the recovery block concept, In Software Fault Tolerance, John Wiley & Sons, pp.1--22, 1994.

Google Scholar

[9]

Whittaker James A., and J. H. Poore, Markov Analysis of Software Specifications, ACM Transactions on Software Engineering and Methodology, Vol.2, No.1, January 1993, pp. 93--106.

Digital Library

Google Scholar

Cited By

View all

Echeverria SLewis GRoot JBradshaw B(2015)Cyber-foraging for improving survivability of mobile systemsMILCOM 2015 - 2015 IEEE Military Communications Conference10.1109/MILCOM.2015.7357644(1421-1426)Online publication date: 26-Oct-2015
https://dl.acm.org/doi/10.1109/MILCOM.2015.7357644
Serageldin AKrings A(2015)A Resilient Real-Time Traffic Control SystemProceedings of the 2015 IEEE 18th International Conference on Intelligent Transportation Systems10.1109/ITSC.2015.461(2869-2876)Online publication date: 15-Sep-2015
https://dl.acm.org/doi/10.1109/ITSC.2015.461

Index Terms

A survivable critical infrastructure control application

Recommendations

Complex approach to assessing resilience of critical infrastructure elements
Abstract
The resilience of elements in a critical infrastructure system is a major factor determining the reliability of services and commodities provided by the critical infrastructure system to society. Resilience can be viewed as a quality ...
Simulating Critical Infrastructure Cascading Failure
UKSIM '14: Proceedings of the 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation

The reliance on critical infrastructures, which are heavily interconnected, is one of society's greatest weaknesses. An individual failure has the potential to have a huge impact on society and affect other infrastructures. Predicting the effects of a ...
The Research On Statistical Identification of Critical Infrastructure Chain Failure Paths
Abstract
Using literature studies, case studies, empirical induction and statistical identification, we proposed an analytical framework based on empirical induction to identify and analyze chain failure problems among interdependent critical ...

Comments

Information & Contributors

Information

Published In

CSIIRW '13: Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop

January 2013

282 pages

ISBN:9781450316873

DOI:10.1145/2459976

Editors:
Frederick Sheldon
Oak Ridge National Laboratory
,
Annarita Giani
Los Alamos National Laboratory
,
Axel Krings
University of Idaho
,
Robert Abercrombie
Oak Ridge National Laboratory

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 January 2013

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Federal Highway Administration

Conference

CSIIRW '13

Sponsor:

Los Alamos National Labs
Sandia National Labs
DOE
Lawrence Livermore National Lab.
BERKELEYLAB
Argonne Natl Lab
Idaho National Lab.
Nevada National Security Site

CSIIRW '13: Cyber Security and Information Intelligence

January 8 - 10, 2013

Tennessee, Oak Ridge, USA

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
84
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 07 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Echeverria SLewis GRoot JBradshaw B(2015)Cyber-foraging for improving survivability of mobile systemsMILCOM 2015 - 2015 IEEE Military Communications Conference10.1109/MILCOM.2015.7357644(1421-1426)Online publication date: 26-Oct-2015
https://dl.acm.org/doi/10.1109/MILCOM.2015.7357644
Serageldin AKrings A(2015)A Resilient Real-Time Traffic Control SystemProceedings of the 2015 IEEE 18th International Conference on Intelligent Transportation Systems10.1109/ITSC.2015.461(2869-2876)Online publication date: 15-Sep-2015
https://dl.acm.org/doi/10.1109/ITSC.2015.461

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Complex approach to assessing resilience of critical infrastructure elements

Simulating Critical Infrastructure Cascading Failure

The Research On Statistical Identification of Critical Infrastructure Chain Failure Paths

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations