TY - GEN
T1 - Attack graph-based countermeasure selection using a stateful return on investment metric
AU - Gonzalez-Granadillo, Gustavo
AU - Doynikova, Elena
AU - Kotenko, Igor
AU - Garcia-Alfaro, Joaquin
N1 - Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - We propose a mitigation model that evaluates individual and combined countermeasures against multi-step cyber-attack scenarios. The goal is to anticipate the actions of an attacker that wants to disrupt a given system (e.g., an information system). The process is driven by an attack graph formalism, enforced with a stateful return on response investment metric that optimally evaluates, ranks and selects appropriate countermeasures to handle ongoing and potential attacks.
AB - We propose a mitigation model that evaluates individual and combined countermeasures against multi-step cyber-attack scenarios. The goal is to anticipate the actions of an attacker that wants to disrupt a given system (e.g., an information system). The process is driven by an attack graph formalism, enforced with a stateful return on response investment metric that optimally evaluates, ranks and selects appropriate countermeasures to handle ongoing and potential attacks.
U2 - 10.1007/978-3-319-75650-9_19
DO - 10.1007/978-3-319-75650-9_19
M3 - Conference contribution
AN - SCOPUS:85042548453
SN - 9783319756493
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 293
EP - 302
BT - Foundations and Practice of Security - 10th International Symposium, FPS 2017, Revised Selected Papers
A2 - Imine, Abdessamad
A2 - Fernandez, Jose M.
A2 - Logrippo, Luigi
A2 - Marion, Jean-Yves
A2 - Garcia-Alfaro, Joaquin
PB - Springer Verlag
T2 - 10th International Symposium on Foundations and Practice of Security, FPS 2017
Y2 - 23 October 2017 through 25 October 2017
ER -