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Semi-Markov modeling of dependability of VoIP network in the presence of resource degradation and security attacks

Author

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  • Gupta, Vandana
  • Dharmaraja, S.

Abstract

Nowadays VoIP has become an evolutionary technology in telecommunications. Hence it is very important to study and enhance its dependability attributes. In this paper, an analytical dependability model for VoIP is proposed. The study is focused on analyzing the combined effects of resource degradation and security breaches on the Quality of Service (QoS) of VoIP, to enhance its overall dependability. As a preventive maintenance policy to prevent or postpone software failures which cause resource degradation, software rejuvenation is adopted. The dependability model is analyzed using semi-Markov process which captures the effects of non-Markovian nature of the time spent at various states of the system. The steady-state as well as the time-dependent analysis of the dependability model is presented. The steady-state results are obtained analytically, whereas the time-dependent results are obtained from simulation. Also, the analytical model is validated via simulation. The model analysis using a numerical example indicates the feasibility of our approach. Various dependability attributes such as availability, reliability and confidentiality are also obtained. A comparative study is also done between our proposed model and the existing models.

Suggested Citation

  • Gupta, Vandana & Dharmaraja, S., 2011. "Semi-Markov modeling of dependability of VoIP network in the presence of resource degradation and security attacks," Reliability Engineering and System Safety, Elsevier, vol. 96(12), pages 1627-1636.
    • Handle: RePEc:eee:reensy:v:96:y:2011:i:12:p:1627-1636
    DOI: 10.1016/j.ress.2011.08.003
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    Citations

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    Cited by:

    1. Dharmaraja, S. & Vinayak, Resham & Trivedi, Kishor S., 2016. "Reliability and survivability of vehicular ad hoc networks: An analytical approach," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 28-38.
    2. Kondakci, Suleyman, 2015. "Analysis of information security reliability: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 275-299.
    3. D’Amico, Guglielmo & Petroni, Filippo, 2023. "ROCOF of higher order for semi-Markov processes," Applied Mathematics and Computation, Elsevier, vol. 441(C).
    4. Anupam Gautam & S. Dharmaraja, 2023. "Reliability and survivability assessment of LTE-A architecture and networks," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 370-392, March.
    5. Lalropuia, K.C. & Gupta, Vandana, 2019. "Modeling cyber-physical attacks based on stochastic game and Markov processes," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 28-37.
    6. Mario Hellmich & Heinz-Peter Berg, 2013. "On the construction of component importance measures for semi-Markov systems," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 77(1), pages 15-32, February.
    7. D׳Amico, Guglielmo & Petroni, Filippo & Prattico, Flavio, 2015. "Reliability measures for indexed semi-Markov chains applied to wind energy production," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 170-177.

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