Application of interval-valued fuzzy integration to evaluate computer attacks

TL;DRAbstract

It is difficult for a network administrator to prevent or defend all kinds of computer and network attacks with limited time and resources. Being able to compare attacks based on subjective preferences is a natural way to identify the most critical attacks. In order to compare attacks, we need to describe each attack with respect to a set of well defined criteria or attributes. By studying the potential impacts of common computer attacks, we define the set of criteria to compare attacks. We consider comparing attacks as a multicriteria decision making (MCDM) problem. An approach to solve this problem is the so-called utility theory approach where we try to find a function u : X → [special characters omitted] such that x is preferred to y (or more harmful in our particular case) if and only if u( x) is larger than u(y), where X is the set of possible attacks. So the problem reduces to identifying a utility function that agrees with a decision maker's partial preferences. A very natural

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