Spatio-Temporal Attack Course-of-Action (COA) Search Learning for Scalable and Time-Varying Networks. (arXiv:2209.00862v1 [cs.CR])

One of the key topics in network security research is the autonomous COA
(Couse-of-Action) attack search method. Traditional COA attack search methods
that passively search for attacks can be difficult, especially as the network
gets bigger. To address these issues, new autonomous COA techniques are being
developed, and among them, an intelligent spatial algorithm is designed in this
paper for efficient operations in scalable networks. On top of the spatial
search, a Monte-Carlo (MC)- based temporal approach is additionally considered …

action attack course networks search temporal