A survey of methods supporting cyber situational awareness in the context of smart cities

Journal of Big Data

Table 2 Mapping of theoretical background and reviewed methods

Theoretical background	Interdependency models	Risk assessment and threat intelligence	Attack detection
Deep autoencoder (DAE)			[81]
Deep Belief Networks (DBNs)			[77]
Convolutional network			[78]
Fuzzy pattern tree			[79]
Generative Adversarial Networks (GANs)			[85]
Gaussian Naive Bayes			[80]
Random Forest classifier			[80]
k-Nearest Neighbors		[68, 70]	[80, 86]
Graph theory	[48,49,50,51, 55, 57]	[58, 60, 62, 63, 67]
Game theory	[57]
Markov decision process/chain	[49]	[66]
State machine	[53, 54, 56]
Stochastic Activity Networks (SAN)	[52,53,54]
Stochastic Well-formed Nets (SWN)	[52]
Competing Risks Theory	[53]
Monte Carlo Simulation	[53]
Various data mining methods		[59, 65, 69, 71, 73, 75, 76]	[82]