Smart Home IoT Network Risk Assessment Using Bayesian Networks

. 2022 May 10;24(5):668. doi: 10.3390/e24050668

Algorithm 1. Attack Simulation.

Input : N, S_{P H C P}, S_{M I C P}, S_{D O S R}, S_{R T P R}, S_{P A R}, S_{D O S F}, S_{M I T M F}, V_{S E C P}, V_{P H C P}, V_{M I C P}, V_{D O S R}, V_{R T P R}, V_{P A R}, V_{D O S F}, V_{M I T M F}

Output : Attack data set X

For n = 1 to n = N, do

Simulate V_{S E C P}

If V_{S E C P} = 1, then

Simulate (S_{P H C P}, S_{M I C P})

For i \in {P_{H C P}, M_{I C P}} such that S_{i} = 1 in the previous step, simulate V_{i}

X_{n, 1} = {i \in {P H C P, M I C P} | V_{i} = 1 in the previous step}

If | X_{n, 1} | \neq 0, then

For j \in X_{n, 1}, do

Simulate (S_{D O S R}, S_{R T P R}, S_{P A R})

For i \in {D O S R, R T P R, P A R} such that S_{i} = 1 in the previous step, simulate V_{i}

X_{n, 2, j} = {i \in {D O S R, R T P R, P A R} | V_{i} = 1 in the previous step}

X_{n, 2} = \underset{j \in X_{n, 1}}{\cup} X_{n, 2, j}

Remove repeated elements of X_{n, 2}

If | X_{n, 2} | \neq 0, then

For k \in X_{n, 2} do

Simulate (S_{D O S F}, S_{M I T M F})

For i \in {D O S F, M I T M F} such that S_{i} = 1 in the previous step, simulate V_{i}

X_{n, 3, k} = {i \in {D O S F, M I T M F} | V_{i} = 1 in the previous step}

X_{n, 3} = \underset{k \in X_{n, 2}}{\cup} X_{n, 3, k}

Remove repeated elements of X_{n, 3}

X_{n} = {S E C P} \cup^{} X_{n, 1} \cup^{} X_{n, 2} \cup^{} X_{n, 3}

Else

X_{n} = {S E C P} \cup^{} X_{n, 1}

Else

X_{n} = {S E C P}

Else

X_{n} = \emptyset

X = \cup_{n = 1}^{N} X_{n}