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IEEE/ICACT20220035 Question.5 Questioner: nyamai@cc.tuat.ac.jp 2022-02-15 오후 10:18:42	IEEE/ICACT20220035 Answer.5 Answer by Auhor nishat.mowla@ri.se 2022-02-15 오후 10:18:42
Thank you for your interesting paper. I have some questions. (1) How would you evaluate whether or not your proposed IDS is explainable? (2) Can the car owner see the output of the IDS and recognize the danger?	1) The current explainable AI solutions focus on finding feature importance as a measure of explainability. In our proposal, we consider the most contributing features and also the most contributing and least contributing sub-models as a measure of this model's explainability. This explainability of the features and models can be further used to update the parameters of the model. 2) The current solution considers the output to be useful for cyber analysts who have a hard time understanding the decision of the model but as future work, this could be considered as a security app for the car owner that can be run on-board.

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