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Security - Telenor

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Firstly, the aggregate risk exposure for a given<br />

time period should be presented when the previous<br />

analyses are quantitative. Aggregate risk exposure<br />

is defined as<br />

Aggregate risk exposure<br />

= Σ T (frequency * consequence)<br />

where Σ T is the summation of the T threats (in<br />

this article a threat includes vulnerabilities and<br />

unwanted events), frequency is the number of<br />

expected incident in a given time period and<br />

consequence is the economic consequence per<br />

incident.<br />

Secondly, the exposure description should be<br />

as clear, concise and informative as possible.<br />

Therefore, while the aggregate risk exposure is<br />

precise, it is not informative in terms of individual<br />

threats. To this end, the individual risks can<br />

be presented in a table, a matrix or in a verbal<br />

narrative.<br />

Thirdly, the exposure description must follow<br />

a format similar to the decision-maker’s acceptance<br />

criteria. Acceptance criteria are ideally expressed<br />

by the decision-maker before the risk<br />

analysis starts, and they represent the level of<br />

risk the decision-maker can accept.<br />

There is usually not enough data to support stating<br />

the aggregate risk as a single number. In<br />

addition, many of the finer points of the analysis<br />

are lost when the result is aggregated into a single<br />

number. Tabulated risks are effective only<br />

when the decision-maker is comfortable with<br />

this format, and verbal descriptions are often too<br />

verbose. Therefore, <strong>Telenor</strong> recommends using a<br />

risk matrix to present the acceptance criteria and<br />

the risk exposure; see Figure 2.<br />

The two axes are frequency and consequence.<br />

The granularity of the axes must be suitable for<br />

the purpose of the analysis. Usually four or five<br />

suitably labelled intervals are sufficient. Each<br />

threat is then plotted according to the result of<br />

the frequency and consequence analysis.<br />

It is vital to ensure that the verbal label one<br />

assigns to the intervals is acceptable to the<br />

reader. For instance, the label Insignificant is<br />

probably offensive when the consequence of a<br />

threat is life threatening injuries or permanent<br />

disability.<br />

It is also necessary to explain what the labels<br />

mean. For instance, Possible might mean “between<br />

1 and 10 occurrences per decade”, and<br />

Substantial could be “between NOK 100,000<br />

and NOK 250,000 per incident”. The expected<br />

economic risk of a threat plotted in the cell possible/substantial<br />

in this example is between<br />

Telektronikk 3.2000<br />

Consequence<br />

Insignificant<br />

Substantial<br />

Serious<br />

Disastrous<br />

NOK 250,000 and NOK 10,000 per year. The<br />

analyst will have to assign a qualitative meaning<br />

to the label if it is not possible to quantify the<br />

threats. For instance, Disastrous might mean<br />

“National media will have a feeding frenzy leading<br />

to significant loss of reputation to <strong>Telenor</strong>,<br />

discontinued service of the TOE and customers<br />

claiming substantial monetary compensation in<br />

addition to a significant number of customers<br />

fleeing from other <strong>Telenor</strong> products or services”.<br />

A decision-maker usually hesitates to implement<br />

remedial action unless the cost of loss prevention<br />

is less than or equal to the risk exposure.<br />

Therefore, the risk exposure should be stated in<br />

economic terms whenever possible – in addition<br />

to the risk matrix.<br />

In a real world of risk analysis it is often necessary<br />

to assign both qualitative and quantitative<br />

definitions to the labels.<br />

Deciding Whether a Risk<br />

is Acceptable<br />

Deciding what is acceptable is the decisionmaker’s<br />

responsibility. As mentioned previously,<br />

the decision-maker should express the<br />

acceptance criteria before the analysis begins.<br />

When this is done, the risk analysis team can<br />

determine whether a risk is acceptable or not,<br />

without setting up a meeting with the decisionmakers.<br />

A recommended format for the acceptance criteria<br />

is the risk matrix. The unacceptable risk<br />

exposure is quite simply shaded, in Figure 3 the<br />

unacceptable risk exposure is shaded in a darker<br />

colour. The decision-maker’s intentions are easily<br />

understood: Any threat plotted in a shaded<br />

area is unacceptable.<br />

Recommending Loss Reduction<br />

Measures<br />

The plotted acceptance criteria, which describe<br />

the level of risk a decision-maker accepts, and<br />

the risk exposure of each individual threat will<br />

reveal whether<br />

Frequency<br />

Improbable Possible Usual Common<br />

Figure 2 Risk matrix<br />

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