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Optimization of time constrained N-version programming service components with competing task execution and version corruption processes

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  • Levitin, Gregory
  • Xing, Liudong
  • Xiang, Yanping

Abstract

This paper models a software service component implementing the N-version programming (NVP) redundancy on the cloud computing platform to enhance the service reliability. Specifically, multiple versions of the same service component are activated in parallel on different servers of the cloud to perform the requested service. At required service response time, the output is determined based on a threshold first-past-the-post voting rule (output with the most votes and the number of these votes exceeds a predetermined threshold). However, effectiveness of the NVP approach can be greatly compromised by co-residence attacks, a common type of cyber-attacks launched to corrupt user's service through co-residing user's and attacker's virtual machines on the same cloud server. This paper formulates and solves an optimization problem, particularly, a minmax game problem that finds the number of service component versions (SCVs) and the threshold to maximize the user's utility while considering a strategic attack behavior aiming to maximize the attacker's utility. The solution methodology encompasses a probabilistic model of evaluating the service success probability (SSP) and corruption attack success probability (CAP), two performance metrics used in the computation of the user's and attacker's utilities. Examples are analyzed to demonstrate influences of different model parameters on SSP, CAP, and solutions to the considered optimization problem.

Suggested Citation

  • Levitin, Gregory & Xing, Liudong & Xiang, Yanping, 2020. "Optimization of time constrained N-version programming service components with competing task execution and version corruption processes," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:reensy:v:193:y:2020:i:c:s0951832019305575
    DOI: 10.1016/j.ress.2019.106666
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    References listed on IDEAS

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    1. Xing, Liudong & Levitin, Gregory, 2017. "Balancing theft and corruption threats by data partition in cloud system with independent server protection," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 248-254.
    2. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2018. "Co-residence based data vulnerability vs. security in cloud computing system with random server assignment," European Journal of Operational Research, Elsevier, vol. 267(2), pages 676-686.
    3. Yuan, Wei & Zhao, Long & Zeng, Bo, 2014. "Optimal power grid protection through a defender–attacker–defender model," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 83-89.
    4. Levitin, Gregory & Hausken, Kjell & Taboada, Heidi A. & Coit, David W., 2012. "Data survivability vs. security in information systems," Reliability Engineering and System Safety, Elsevier, vol. 100(C), pages 19-27.
    5. Torres, Jacob M. & Brumbelow, Kelly & Guikema, Seth D., 2009. "Risk classification and uncertainty propagation for virtual water distribution systems," Reliability Engineering and System Safety, Elsevier, vol. 94(8), pages 1259-1273.
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    Cited by:

    1. Levitin, Gregory & Xing, Liudong & Xiang, Yanping, 2020. "Optimal early warning defense of N-version programming service against co-resident attacks in cloud system," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    2. Li, Yijia & Hu, Xiaoxiao & Zhao, Peng, 2021. "On the reliability of a voting system under cyber attacks," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    3. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2022. "Co-residence based data theft game in cloud system with virtual machine replication and cancellation," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    4. Levitin, Gregory & Xing, Liudong & Xiang, Yanping, 2021. "Minimization of Expected User Losses Considering Co-resident Attacks in Cloud System with Task Replication and Cancellation," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    5. Levitin, Gregory & Xing, Liudong & Dai, Yanshun, 2021. "Security and reliability of N-version cloud-based task solvers with individual version cancellation under data theft attacks," Reliability Engineering and System Safety, Elsevier, vol. 216(C).

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