A semi-Markov survivability evaluation model for intrusion tolerant database systems

Alex Hai Wang, Su Yan, Peng Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

Survivability modeling and evaluation have gained increasing importance. Most existing models assume that the distributions for transitions between states are exponential. However, this assumption does not hold in many real cases. To address this problem, we propose a novel semi-Markov survivability evaluation model, which allows the transitions between states to follow nonexponential distributions. Novel quantitative measures are also proposed to characterize the capability of a resilient system in surviving intrusions. Model validation, which is possibly the most important step in the life cycle of model development, is largely overlooked in previous research. In this paper, a real intrusion tolerant database system ITDB is implemented to validate the proposed statespace models. Empirical experiments show that the semi-Markov model predicts the system behaviors with high accuracy. Furthermore, in this paper we evaluate the impact of intrinsic system deficiencies and attack behaviors on the survivability of intrusion tolerant database systems.

Original languageEnglish (US)
Title of host publicationARES 2010 - 5th International Conference on Availability, Reliability, and Security
Pages104-111
Number of pages8
DOIs
StatePublished - May 21 2010
Event5th International Conference on Availability, Reliability, and Security, ARES 2010 - Krakow, Poland
Duration: Feb 15 2010Feb 18 2010

Other

Other5th International Conference on Availability, Reliability, and Security, ARES 2010
CountryPoland
CityKrakow
Period2/15/102/18/10

Fingerprint

Life cycle
Experiments

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Safety, Risk, Reliability and Quality

Cite this

Wang, A. H., Yan, S., & Liu, P. (2010). A semi-Markov survivability evaluation model for intrusion tolerant database systems. In ARES 2010 - 5th International Conference on Availability, Reliability, and Security (pp. 104-111). [5438108] https://doi.org/10.1109/ARES.2010.90
Wang, Alex Hai ; Yan, Su ; Liu, Peng. / A semi-Markov survivability evaluation model for intrusion tolerant database systems. ARES 2010 - 5th International Conference on Availability, Reliability, and Security. 2010. pp. 104-111
@inproceedings{6ea9e6b154ed4483bcbc1a95b2e3a23a,
title = "A semi-Markov survivability evaluation model for intrusion tolerant database systems",
abstract = "Survivability modeling and evaluation have gained increasing importance. Most existing models assume that the distributions for transitions between states are exponential. However, this assumption does not hold in many real cases. To address this problem, we propose a novel semi-Markov survivability evaluation model, which allows the transitions between states to follow nonexponential distributions. Novel quantitative measures are also proposed to characterize the capability of a resilient system in surviving intrusions. Model validation, which is possibly the most important step in the life cycle of model development, is largely overlooked in previous research. In this paper, a real intrusion tolerant database system ITDB is implemented to validate the proposed statespace models. Empirical experiments show that the semi-Markov model predicts the system behaviors with high accuracy. Furthermore, in this paper we evaluate the impact of intrinsic system deficiencies and attack behaviors on the survivability of intrusion tolerant database systems.",
author = "Wang, {Alex Hai} and Su Yan and Peng Liu",
year = "2010",
month = "5",
day = "21",
doi = "10.1109/ARES.2010.90",
language = "English (US)",
isbn = "9780769539652",
pages = "104--111",
booktitle = "ARES 2010 - 5th International Conference on Availability, Reliability, and Security",

}

Wang, AH, Yan, S & Liu, P 2010, A semi-Markov survivability evaluation model for intrusion tolerant database systems. in ARES 2010 - 5th International Conference on Availability, Reliability, and Security., 5438108, pp. 104-111, 5th International Conference on Availability, Reliability, and Security, ARES 2010, Krakow, Poland, 2/15/10. https://doi.org/10.1109/ARES.2010.90

A semi-Markov survivability evaluation model for intrusion tolerant database systems. / Wang, Alex Hai; Yan, Su; Liu, Peng.

ARES 2010 - 5th International Conference on Availability, Reliability, and Security. 2010. p. 104-111 5438108.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A semi-Markov survivability evaluation model for intrusion tolerant database systems

AU - Wang, Alex Hai

AU - Yan, Su

AU - Liu, Peng

PY - 2010/5/21

Y1 - 2010/5/21

N2 - Survivability modeling and evaluation have gained increasing importance. Most existing models assume that the distributions for transitions between states are exponential. However, this assumption does not hold in many real cases. To address this problem, we propose a novel semi-Markov survivability evaluation model, which allows the transitions between states to follow nonexponential distributions. Novel quantitative measures are also proposed to characterize the capability of a resilient system in surviving intrusions. Model validation, which is possibly the most important step in the life cycle of model development, is largely overlooked in previous research. In this paper, a real intrusion tolerant database system ITDB is implemented to validate the proposed statespace models. Empirical experiments show that the semi-Markov model predicts the system behaviors with high accuracy. Furthermore, in this paper we evaluate the impact of intrinsic system deficiencies and attack behaviors on the survivability of intrusion tolerant database systems.

AB - Survivability modeling and evaluation have gained increasing importance. Most existing models assume that the distributions for transitions between states are exponential. However, this assumption does not hold in many real cases. To address this problem, we propose a novel semi-Markov survivability evaluation model, which allows the transitions between states to follow nonexponential distributions. Novel quantitative measures are also proposed to characterize the capability of a resilient system in surviving intrusions. Model validation, which is possibly the most important step in the life cycle of model development, is largely overlooked in previous research. In this paper, a real intrusion tolerant database system ITDB is implemented to validate the proposed statespace models. Empirical experiments show that the semi-Markov model predicts the system behaviors with high accuracy. Furthermore, in this paper we evaluate the impact of intrinsic system deficiencies and attack behaviors on the survivability of intrusion tolerant database systems.

UR - http://www.scopus.com/inward/record.url?scp=77952347700&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77952347700&partnerID=8YFLogxK

U2 - 10.1109/ARES.2010.90

DO - 10.1109/ARES.2010.90

M3 - Conference contribution

AN - SCOPUS:77952347700

SN - 9780769539652

SP - 104

EP - 111

BT - ARES 2010 - 5th International Conference on Availability, Reliability, and Security

ER -

Wang AH, Yan S, Liu P. A semi-Markov survivability evaluation model for intrusion tolerant database systems. In ARES 2010 - 5th International Conference on Availability, Reliability, and Security. 2010. p. 104-111. 5438108 https://doi.org/10.1109/ARES.2010.90