Abstract
Denial of service attacks (DoS) don’t necessarily damage data directly, or permanently but intentionally compromise the functionality. Even in an intrusion tolerant system, the resources will be fatigued if the intrusion is long lasting because of compromising iteratively or incrementally. In due course, the system will not provide even the minimum critical functionality. Thus we propose a model to increase the cluster system survivability level by maintaining the essential functionality. In this paper, we present the cluster recovery model with a software rejuvenation methodology, which is applicable in security field and also less expensive. The basic idea is – investigate the consequences for the exact responses in face of attacks and rejuvenate the running software/service, or/and reconfigure it. It shows that the system operates through intrusions and provides continued the critical functions, and gracefully degrades non-critical system functionality in the face of intrusions.
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Jha, S., Wing, J.: Survivability Analysis of Networked Systems. In: Proc. of the 23rd International Conference on Software Engineering, pp. 872–874. IEEE, Los Alamitos (2001)
Nikolopoulos, S., Pitsillides, A., Tipper, D.: Addressing Network Survivability Issues by Finding the Kbest Paths through a Trellis Graph. In: 16th Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 1, pp. 370–377 (1997)
Liew, S., Lu, K.: A Framework for Network Survivability Characterization. In: IEEE International Conference on Communications, pp. 441–451 (1992)
Newport, K.: Incorporating Survivability Considerations Directly into the Network Design Process. In: 9th Annual Joint Conference of the IEEE Computer and Communication Societies, pp. 1963–1970 (1990)
Moitra, D.S., Konda, S.: A Simulation Model for Managing Survivability of Networked Information Systems. SEI (December 2002)
Trivedi, K.: Probability and Statistics with Reliability Queueing and Computer Science Applications. John Wiley and Sons, Inc., Chichester (2003)
Garge, S.: Analysis of Preventive Maintenance in Transactions Based Software Systems. IEEE Transactions on Computers 47(1), 96–107 (1998)
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© 2005 Springer-Verlag Berlin Heidelberg
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Aung, K.M.M., Park, K., Park, J.S., Kim, H., Lee, B. (2005). A Survivability Model for Cluster System Under DoS Attacks. In: Yang, L.T., Rana, O.F., Di Martino, B., Dongarra, J. (eds) High Performance Computing and Communications. HPCC 2005. Lecture Notes in Computer Science, vol 3726. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11557654_67
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DOI: https://doi.org/10.1007/11557654_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29031-5
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