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UiS Brage
Master thesis . 2011
Data sources: UiS Brage
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Informasjonssikkerhet i komplekse systemer

Authors: Leiknes, Erlend Jullum;

Informasjonssikkerhet i komplekse systemer

Abstract

Virksomheter benytter seg av IKT-systemer for å forenkle sin hverdag. Disse systemene har utviklet seg fra å være enkle verktøy til å bli en integrert del i organisasjoner, og er nå ofte svært komplekse systemer som virksomheter er blitt avhengig av. Ved å analysere de systemegenskaper i IKT-system som gjør dem til komplekse systemer, blir det undersøkt hvilke systemteorier som er best egnet til å forstå IKT-systemer som et kompleks system. To IT-sjefer i to ulike norske kommuner er blitt intervjuet, hvor temaet var deres sikkerhetsmessige utfordringer. To hovedteorier om hvordan komplekse systemers egenskaper gjør dem tilbøyelige til ulykker, ble benyttet: Natural Accident Theory og Systems Theory Accident Model and Processes. Dette både til å analysere deres uttalte forhold til sikkerhet (altså hva de to informantene selv sa) og for å drøfte hvordan disse forholdene (altså hva de selv sa og de slutninger man kan trekke ut i fra dette) er forankret i systemteoriene. I tillegg er organistatoriske faktorer blitt analysert gjennom bruk av High Reliability Organisation-teorier. Ved bruk av Natural Accident Theory kommer det frem at forsøk på å forenkle systemene, for å gjøre driften lettere håndterbar, førte til at systeme ble mer komplekse: Dette hadde som konsekvens at eventuelle feil ble mindre transparente. Mindre pessimistisk var Systems Theory Accident Model and Processes, hvor det viser seg at kompleksiteten kan håndteres ved å implementere gode sikkerhetsmessige begresninger i de ulike systemkomponentene.

Master's thesis in Risk management and societal safety

Country
Norway
Related Organizations
Keywords

samfunnssikkerhet, VDP::Social science: 200::Economics: 210, informasjonssikkerhet, systemteori, komplekse systemer

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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