… exact values of these marginal probabilities (eg, [14]). Given that the structure of the … The
input to the algorithm is the graph with local probabilities. The pop(int) function used in the …

… network systems, and the results are more objective and accurate. … 4) P is the collection of
local condition probability … on the attack probabilities, so that the node attack probabilities can …

… probabilities at the attack graph nodes. Mun̴oz-González et al. [7] have described employing
exact inference techniques to analyze BAGs… networks can be factored by local conditional …

… in [19], where the attacker’s probability to reach a security state … to infer the structure of attack
graphs locally in a small network. … , “Exact inference techniques for the analysis of bayesian …

… log-likelihood. Overall, the WL routines scales as O(Hm) and … exist) and an accurate
estimation of such high dimensional … to attack graph classifiers using Bayesian optimisation. We …

… estimation, each agent in the power network is locally … the cyber attack and noises leads
to an accurate estimation result. … the variational Bayesian learning method [45], the likelihood …

… target node probability based on the Bayesian attack graph, … article, the attack probability of
the host in the attack graph, … paper are more differential and more accurate and reasonable. …

… , in an attacked graph, the PR values of attacked vertices are … of graphs, we have the probability
of attacked and attack free … Similar to the other data set [1], we analyze precision, recall, …

… evidence theory to analyse the probability distribution of the “… precise method is used to
calculate the risk value, it can better support decision-making. For future research, this Bayesian …

… 8] [9] applied Bayesian Network to reveal the zero-day attack … and analyze the impact of
different values of probability … LSTM tends to make increasingly accurate predictions with the …