Review of Botnet Attack Detection in SDN-Enabled IoT Using Machine Learning

. 2022 Dec 14;22(24):9837. doi: 10.3390/s22249837

Algorithm 2: Pseudocode for Generating Potential Review Papers

$S e a r c h D a t a b a s e s \leftarrow S p r i n g e r_L i n k, M D P I, S c i e n c e_D i r e c t, W i l e y_O n l i n e,$ $I E E E_X p l o r e$
{Initialization:}
Area_Keyword $\leftarrow [B o t N e t, S o f t w a r e_d e f i n e d_N e t w o r k, M a l w a r e, A t t a c k, I o T]$
Attack_keywords $\leftarrow [D O S, n e t w o r k - p r o b i n g, D D O S, b a c k d o o r, P h i s h i n g,$ $c r e d e n t i a l s t e a l i n g]$
Method_keywords $\leftarrow [D e e p_L e a r n i n g_M e t h o d s, C l a s s i c a l_M a c h i n e_L e a r n i n g$ $_M e t h o d s]$
Target_keywords $\leftarrow [D e t e c t i o n, C l a s s i f i c a t i o n]$
Search_String $\leftarrow ″ A l g o r i t h m 1 ″$
for $a t t a c k \in A t t a c k_k e y w o r d s$ do
for $k e y w o r d \in A r e a_k e y w o r d s$ do
for $t a r g e t \in T a r g e t_k e y w o r d s$ do
for $m e t h o d \in M e t h o d_k e y w o r d s$ do
Search_String $= A l g o r i t h m 1$
for $d a t a b a s e \in D a t a b a s e s$ do
$P a p e r_L i s t 1 \leftarrow d a t a b a s e s . search (S e a r c h_S t r i n g)$
end for
end for
end for
end for
end for
Inclusion_Criteria = [IC1,IC2,IC3,IC4,IC5,IC6]
Exclusion_Criteria = [EC1,EC2,EC3,EC4]
Paper_List2 $\leftarrow A p p l y . I n c l u s i o n_C r i t e r a (P a p e r_L i s t 1)$
Paper_Final_Lists $\leftarrow A p p l y . I n c l u s i o n_C r i t e r a (P a p e r_L i s t 2)$