Anonymity and confidentiality in secure distributed simulation
Pages 71 - 78
Abstract
Research on data confidentiality, integrity and availability is gaining momentum in the ICT community, due to the intrinsically insecure nature of the Internet. While many distributed systems and services are now based on secure communication protocols to avoid eavesdropping and protect confidentiality, the techniques usually employed in distributed simulations do not consider these issues at all. This is probably due to the fact that many real-world simulators rely on monolithic, offline approaches and therefore the issues above do not apply. However, the complexity of the systems to be simulated, and the rise of distributed and cloud based simulation, now impose the adoption of secure simulation architectures. This paper presents a solution to ensure both anonymity and confidentiality in distributed simulations. A performance evaluation based on an anonymized distributed simulator is used for quantifying the performance penalty for being anonymous. The obtained results show that this is a viable solution.
References
[1]
Okeanos: Grnet's cloud service. https://okeanos.grnet.gr.
[2]
IEEE Standard for Modeling and Simulation (M&S) High Level Architecture (HLA) - Framework and Rules. IEEE Std. 1516-2000, pages i--22, 2000.
[3]
PADS: Parallel and Distributed Simulation Research Group. http://pads.cs.unibo.it/, 2018. University of Bologna.
[4]
Tor project: anonymity online. https://www.torproject.org/, 2018.
[5]
Amazon. Elastic cloud compute.
[6]
M. Backes, I. Goldberg, A. Kate, and E. Mohammadi. Provably secure and practical onion routing. In 2012 IEEE 25th Computer Security Foundations Symposium, pages 369--385, June 2012.
[7]
P. Bieber, J. Cazin, P. Siron, and G. Zanon. Security Extensions to ONERA HLA RTI Prototype. In In Proc. of the 1998 Fall Simulation Interoperability Workshop, pages 511--516, 1998.
[8]
L. Bononi, M. Bracuto, G. D'Angelo, and L. Donatiello. Scalable and efficient parallel and distributed simulation of complex, dynamic and mobile systems. In Proc. of the 2005 Workshop on Techniques, Methodologies and Tools for Performance Evaluation of Complex Systems, Washington, DC, USA, 2005. IEEE Computer Society.
[9]
K. M. Chandy and J. Misra. Asynchronous distributed simulation via a sequence of parallel computations. Commun. ACM, 24(4):198--206, Apr. 1981.
[10]
G. D'Angelo. The simulation model partitioning problem: an adaptive solution based on self-clustering. Simulation Modelling Practice and Theory (SIMPAT), 70:1 -- 20, 2017.
[11]
G. D'Angelo, S. Ferretti, and V. Ghini. Simulation of the Internet of Things. In 2016 International Conference on High Performance Computing Simulation (HPCS), pages 1--8, July 2016.
[12]
G. D'Angelo, S. Ferretti, and V. Ghini. Multi-level simulation of internet of things on smart territories. Simulation Modelling Practice and Theory (SIMPAT), 73:3 -- 21, 2017.
[13]
G. D'Angelo, S. Ferretti, M. Marzolla, and L. Armaroli. Fault-tolerant adaptive parallel and distributed simulation. In Proc. of the 20th ACM/IEEE International Symposium on Distributed Simulation and Real Time Applications (DS-RT), pages 37--44, Washington, DC, USA, 2016. IEEE Computer Society.
[14]
G. D'Angelo and M. Marzolla. New trends in parallel and distributed simulation: From many-cores to cloud computing. Simulation Modelling Practice and Theory, 49:320--335, 2014.
[15]
A. Elkins, J. W. Wilson, and D. Gracanin. Security issues in high level architecture based distributed simulation. In Proc. of the 33Nd Conference on Winter Simulation, WSC '01, pages 818--826, Washington, DC, USA, 2001. IEEE Computer Society.
[16]
R. M. Fujimoto. Parallel discrete event simulation. Commun. ACM, 33(10):30--53, Oct. 1990.
[17]
R. M. Fujimoto. Parallel and distributed simulation systems, volume 300. Wiley New York, 2000.
[18]
R. M. Fujimoto. Research challenges in parallel and distributed simulation. ACM Trans. Model. Comput. Simul., 26(4):22:1--22:29, May 2016.
[19]
D. Jefferson. Virtual Time. ACM Transactions Program. Lang. Syst., 7(3):404--425, 1985.
[20]
D. McGrath, A. Hunt, and M. Bates. A simple distributed simulation architecture for emergency response exercises. In Ninth IEEE International Symposium on Distributed Simulation and Real-Time Applications, pages 221--226, Oct 2005.
[21]
G. A. Mills-Tettey and L. F. Wilson. Security issues in the abels system for linking distributed simulations. In Proceedings of the 36th Annual Symposium on Simulation, ANSS '03, pages 135--, Washington, DC, USA, 2003. IEEE Computer Society.
[22]
M. Musolesi and C. Mascolo. Mobility models for systems evaluation. In Middleware for Network Eccentric and Mobile Applications, pages 43--62. Springer Berlin Heidelberg, 2009.
[23]
K. Norling, D. Broman, P. Fritzson, A. Siemers, and D. Fritzson. Secure distributed co-simulation over wide area networks. In Proc. of the 48th Scandinavian Conference on Simulation and Modeling, 2007.
[24]
E. Noulard, J.-Y. Rousselot, and P. Siron. CERTI, an Open Source RTI, why and how. In Spring Simulation Interoperability Workshop, pages pp. 1--11, San Diego, US, 2009.
[25]
R. van den Berg. tcpping: test response times using TCP SYN packets. http://www.vdberg.org/richard/tcpping.
[26]
Z. H. Zhang, X. D. Chai, and B. C. Hou. System security approach for web-enabled hla/rti in the cloud simulation environment. In 2011 6th IEEE Conference on Industrial Electronics and Applications, pages 245--248, June 2011.
- Anonymity and confidentiality in secure distributed simulation
Recommendations
A Scheme for Confidentiality Protection of OpenID Authentication Mechanism
CIS '10: Proceedings of the 2010 International Conference on Computational Intelligence and SecuritySingle Sign-On (SSO) means that a user logs in once and gains access to all systems without being prompted to log in again at each of them. As a solution to SSO, OpenID can simplify users’ operation process and reduce the resource provider’s overhead. ...
A Strategic Approach to IoT Security by Working Towards a Secure IoT Future
The internet of things' (IoT) fast-growing development and adoption are undeniable. Although the IoT development is moving at a fast rate, the security of these technologies is not keeping up. Lack of security infrastructure on the internet of things ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
October 2018
283 pages
ISBN:9781538650486
- General Chair:
- José Luis Risco Martín,
- Program Chairs:
- Eva Besada,
- Floriano De Rango
Sponsors
In-Cooperation
- IEEE TCCA: IEEE Computer Society Technical Committee on Computer Architecture
- IEEE CS TCPP: IEEE Computer Society Technical Committee on Parallel Processing
Publisher
IEEE Press
Publication History
Published: 15 October 2018
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
DS-RT '18
Sponsor:
DS-RT '18: International Symposium on Distributed Simulation and Real-Time Applications
October 15 - 17, 2018
Madrid, Spain
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 47Total Downloads
- Downloads (Last 12 months)4
- Downloads (Last 6 weeks)0
Reflects downloads up to 09 Jan 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in