2019
Expected Cost Analysis of Attack-Defense Trees
EISENTRAUT, Julia a Jan KŘETÍNSKÝZákladní údaje
Originální název
Expected Cost Analysis of Attack-Defense Trees
Autoři
EISENTRAUT, Julia a Jan KŘETÍNSKÝ
Vydání
Quantitative Evaluation of Systems, 16th International Conference, QEST 2019, Glasgow, UK, September 10-12, 2019, Proceedings. od s. 203-221, 19 s. 2019
Nakladatel
Springer
Další údaje
Typ výsledku
Stať ve sborníku
Označené pro přenos do RIV
Ne
Organizační jednotka
Fakulta informatiky
ISBN
9783030302801
ISSN
Změněno: 17. 3. 2025 14:43, RNDr. Pavel Šmerk, Ph.D.
Anotace
V originále
Attack-defense trees (ADT) are an established formalism for assessing system security. We extend ADT with costs and success probabilities of basic events. We design a framework to analyze the probability of a successful attack/defense, its expected cost, and its probability for a given maximum cost. On the conceptual level, we show that a proper analysis requires to model the problem using sequential decision making and non-tree structures, in contrast to classical ADT analysis. On the technical level, we provide three algorithms: (i) reduction to PRISM-games, (ii) dedicated game solution utilizing the structure of the problem, and (iii) direct analysis of ADT for certain settings. We demonstrate the framework and compare the solutions on several examples.