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IEEE/ICACT20220314 Question.3
Questioner: nishat.mowla@ri.se    2022-02-17 ¿ÀÀü 1:39:25
IEEE/ICACT20220314 Answer.3
Answer by Auhor nay.min@student.mahidol.ac.th   2022-02-17 ¿ÀÀü 1:39:25
Most datasets considered for use with machine learning have a common problem of being noisy and imbalanced. Have you considered that during your attack generation or any technique considered after the attack generation? Thank you for your discussion and question. We also noted that these common problems exist even in our testbed. However, we tried our best to address these issues although they are not perfectly solved yet. For the imbalance case, we control the number of durations that our attack is performed and fix the total number of times we perform for each category. For the noise issue, we had to filter using specific protocols using wireshark filters.

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