Probabilistic Mission Impact Assessment based on Widespread Local Events

Alexander Motzek; Ralf Möller; Mona Lange; Samuel Dubus

Probabilistic Mission Impact Assessment based on Widespread Local Events

Alexander Motzek, Ralf Möller, Mona Lange, Samuel Dubus

Institute of Information Systems

Abstract

Assessing and understanding the impact of scattered and widespread events onto a mission is an ongoing problem. Current approaches employ score-based algorithms leading to spurious results. This paper provides a formal, mathematical model for mission impact assessment. Based on this model we reduce mission impact assessment of widespread local events to a well-understood mathematical problem. Following a probabilistic approach, we present a feasible solution to this problem and evaluate the solution experimentally. We put high care in only using actually available data and kinds of expertise.

Original language	English
Number of pages	13
Publication status	Published - 01.06.2015
Event	Proceedings of the NATO IST-128 Workshop: Assessing Mission Impact of Cyberattacks - Istanbul, Turkey Duration: 15.06.2015 → 17.06.2015

Conference

Conference	Proceedings of the NATO IST-128 Workshop: Assessing Mission Impact of Cyberattacks
Country/Territory	Turkey
City	Istanbul
Period	15.06.15 → 17.06.15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

DFG Research Classification Scheme

409-06 Information Systems, Process and Knowledge Management

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Cite this

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title = "Probabilistic Mission Impact Assessment based on Widespread Local Events",

abstract = "Assessing and understanding the impact of scattered and widespread events onto a mission is an ongoing problem. Current approaches employ score-based algorithms leading to spurious results. This paper provides a formal, mathematical model for mission impact assessment. Based on this model we reduce mission impact assessment of widespread local events to a well-understood mathematical problem. Following a probabilistic approach, we present a feasible solution to this problem and evaluate the solution experimentally. We put high care in only using actually available data and kinds of expertise.",

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AU - Motzek, Alexander

AU - Möller, Ralf

AU - Lange, Mona

AU - Dubus, Samuel

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Y1 - 2015/6/1

N2 - Assessing and understanding the impact of scattered and widespread events onto a mission is an ongoing problem. Current approaches employ score-based algorithms leading to spurious results. This paper provides a formal, mathematical model for mission impact assessment. Based on this model we reduce mission impact assessment of widespread local events to a well-understood mathematical problem. Following a probabilistic approach, we present a feasible solution to this problem and evaluate the solution experimentally. We put high care in only using actually available data and kinds of expertise.

AB - Assessing and understanding the impact of scattered and widespread events onto a mission is an ongoing problem. Current approaches employ score-based algorithms leading to spurious results. This paper provides a formal, mathematical model for mission impact assessment. Based on this model we reduce mission impact assessment of widespread local events to a well-understood mathematical problem. Following a probabilistic approach, we present a feasible solution to this problem and evaluate the solution experimentally. We put high care in only using actually available data and kinds of expertise.

M3 - Conference Papers

T2 - Proceedings of the NATO IST-128 Workshop: Assessing Mission Impact of Cyberattacks

Y2 - 15 June 2015 through 17 June 2015

ER -

Probabilistic Mission Impact Assessment based on Widespread Local Events

Abstract

Conference

UN SDGs

DFG Research Classification Scheme

Access to Document

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Cite this