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Recognition of attacks

Let s consider the neural network for recognition of attack. This network is multilayer perceptron with 6 input units, 40 hidden units and 23 output... [Pg.375]

Let s examine the recognition of attack types (Table 7). Table 8 show the statistic of recognition and detection of attacks depending on attack type. Table 9 shows the common results concerning attack recognition and detection for four categories. As can be seen MLP network can recognize 94,49% attack. [Pg.377]


See other pages where Recognition of attacks is mentioned: [Pg.208]    [Pg.206]   


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