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  • Resilience_CPS_Cooperation_120820_DH_JM

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Modeling cooperative behavior for resilience in cyber-physical systems using SDN and NFV

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Modeling cooperative behavior for resilience in cyber-physical systems using SDN and NFV. / Moura, Jose Andre; Hutchison, David.
In: SN Applied Sciences, Vol. 2, 1534, 19.08.2020.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Moura JA, Hutchison D. Modeling cooperative behavior for resilience in cyber-physical systems using SDN and NFV. SN Applied Sciences. 2020 Aug 19;2:1534. doi: 10.1007/s42452-020-03335-4

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@article{99df5d3338fa491e917861739aaebdfc,
title = "Modeling cooperative behavior for resilience in cyber-physical systems using SDN and NFV",
abstract = "Cyber-Physical Systems (CPSs) are increasingly important in everyday applications including the latest mobile devices, power grids and intelligent buildings. CPS functionality has intrinsic characteristics including considerable heterogeneity, variable dynamics, and complexity of operation. These systems also typically have insufficient resources to satisfy their full demand for specialized services such as data edge storage, data fusion, and reasoning. These novel CPS characteristics require new management strategies to support the resilient global operation of CPSs. To reach this goal, we propose a Software Defined Networking based solution scaled out by Network Function Virtualization modules implemented as distributed management agents. Considering the obvious need for orchestrating the distributed agents towards the satisfaction of a common set of global CPS functional goals, we analyze distinct incentive strategies to enact a cooperative behavior among the agents. The repeated operation of each agent{\textquoteright}s local algorithm allows that agent to learn how to adjust its behavior following both its own experience and observed behavior in neighboring agents. Therefore, global CPS management can evolve iteratively to ensure a state of predictable and resilient operation.",
keywords = "Cyber-physical systems, Internet of things, Software-defined networking, Game theory, Network function virtualization, Threats and cyber-attacks, Algorithms, Resilience, Resilient systems, Cooperation, Orchestration, Robustness",
author = "Moura, {Jose Andre} and David Hutchison",
note = "The final publication is available at Springer via 10.1007/s42452-020-03335-4",
year = "2020",
month = aug,
day = "19",
doi = "10.1007/s42452-020-03335-4",
language = "English",
volume = "2",
journal = "SN Applied Sciences",
publisher = "Springer",

}

RIS

TY - JOUR

T1 - Modeling cooperative behavior for resilience in cyber-physical systems using SDN and NFV

AU - Moura, Jose Andre

AU - Hutchison, David

N1 - The final publication is available at Springer via 10.1007/s42452-020-03335-4

PY - 2020/8/19

Y1 - 2020/8/19

N2 - Cyber-Physical Systems (CPSs) are increasingly important in everyday applications including the latest mobile devices, power grids and intelligent buildings. CPS functionality has intrinsic characteristics including considerable heterogeneity, variable dynamics, and complexity of operation. These systems also typically have insufficient resources to satisfy their full demand for specialized services such as data edge storage, data fusion, and reasoning. These novel CPS characteristics require new management strategies to support the resilient global operation of CPSs. To reach this goal, we propose a Software Defined Networking based solution scaled out by Network Function Virtualization modules implemented as distributed management agents. Considering the obvious need for orchestrating the distributed agents towards the satisfaction of a common set of global CPS functional goals, we analyze distinct incentive strategies to enact a cooperative behavior among the agents. The repeated operation of each agent’s local algorithm allows that agent to learn how to adjust its behavior following both its own experience and observed behavior in neighboring agents. Therefore, global CPS management can evolve iteratively to ensure a state of predictable and resilient operation.

AB - Cyber-Physical Systems (CPSs) are increasingly important in everyday applications including the latest mobile devices, power grids and intelligent buildings. CPS functionality has intrinsic characteristics including considerable heterogeneity, variable dynamics, and complexity of operation. These systems also typically have insufficient resources to satisfy their full demand for specialized services such as data edge storage, data fusion, and reasoning. These novel CPS characteristics require new management strategies to support the resilient global operation of CPSs. To reach this goal, we propose a Software Defined Networking based solution scaled out by Network Function Virtualization modules implemented as distributed management agents. Considering the obvious need for orchestrating the distributed agents towards the satisfaction of a common set of global CPS functional goals, we analyze distinct incentive strategies to enact a cooperative behavior among the agents. The repeated operation of each agent’s local algorithm allows that agent to learn how to adjust its behavior following both its own experience and observed behavior in neighboring agents. Therefore, global CPS management can evolve iteratively to ensure a state of predictable and resilient operation.

KW - Cyber-physical systems

KW - Internet of things

KW - Software-defined networking

KW - Game theory

KW - Network function virtualization

KW - Threats and cyber-attacks

KW - Algorithms

KW - Resilience

KW - Resilient systems

KW - Cooperation

KW - Orchestration

KW - Robustness

U2 - 10.1007/s42452-020-03335-4

DO - 10.1007/s42452-020-03335-4

M3 - Journal article

VL - 2

JO - SN Applied Sciences

JF - SN Applied Sciences

M1 - 1534

ER -