ICACT20220029 Question.1
Questioner: tomayoon@ieee.org 2022-02-15 오후 1:43:14 |
ICACT20220029 Answer.1
Answer by Auhor zakaria.sawado@gmail.com 2022-02-15 오후 1:43:14
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| First of all, thank you for the good research paper and presentation contents. I would like to know more about the research environment used in this study, and also in detail about the equipment & operating systems, development languages and software libraries you used. |
We conducted our experiment on an HP Z620 workstation with the following characteristics: Intel (R) Xeon (R) CPU E5- 2643 0 @ 3.30 GHz 3.30GHz (2 processors), RAM: 34 GB, on which we installed Windows 10, 64 bit operating system. We used Anaconda Navigator which is a graphical user interface(GUI) which integrates several development tools such as Jupiter, Spyder and allows the use of python 3.6 and Scikit-learn, a free Python library for machine learning |
ICACT20220029 Question.2
Questioner: franklinlu888@outlook.com 2022-02-16 오전 5:55:01 |
ICACT20220029 Answer.2
Answer by Auhor zakaria.sawado@gmail.com 2022-02-16 오전 5:55:01
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| Will you tell us what is the major achievement of this paper, and also what is further study issue from this? Thanks in advance!! |
In our paper we made the proposal of UFILA, which is an effective and functional classification and identification system to classify and identify malware, allowing the update of the features.
Future work could be the optimization of the approach or the evaluation of it with other types of data. |
ICACT20220029 Question.3
Questioner: zakaria.sawado@gmail.com 2022-02-16 오전 6:05:34 |
ICACT20220029 Answer.3
Answer by Auhor zakaria.sawado@gmail.com 2022-02-16 오전 6:05:34
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ICACT20220029 Question.4
Questioner: thanhphuong@lhu.edu.vn 2022-02-16 오후 1:21:43 |
ICACT20220029 Answer.4
Answer by Auhor zakaria.sawado@gmail.com 2022-02-16 오후 1:21:43
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| Can you tell us your method test installation environment and related libraries? Thank you very much |
We conducted our experiment on an HP Z620 workstation with the following characteristics: Intel (R) Xeon (R) CPU E5- 2643 0 @ 3.30 GHz 3.30GHz (2 processors), RAM: 34 GB, on which we installed Windows 10, 64 bit operating system. We used Anaconda Navigator which is a graphical user interface(GUI) which integrates several development tools such as Jupiter, Spyder and allows the use of python 3.6 and Scikit-learn, a free Python library for machine learning |
ICACT20220029 Question.5
Questioner: 21049228g@connect.polyu.hk 2022-02-16 오후 1:22:58 |
ICACT20220029 Answer.5
Answer by Auhor zakaria.sawado@gmail.com 2022-02-16 오후 1:22:58
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| Hello, may I ask what your further research directions are for this issue in the future? |
Future work could be the optimization of the approach or the evaluation of it with other types of data. |
ICACT20220029 Question.6
Questioner: namacabale@gmail.com 2022-02-16 오후 1:39:09 |
ICACT20220029 Answer.6
Answer by Auhor zakaria.sawado@gmail.com 2022-02-16 오후 1:39:09
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| Dear Author, you have a very good research. Is there an existing technology almost similar to your proposal that has been deployed in real world environment? What does it lack that your work specifically addressed? Thank you and stay safe. |
To our knowledge there is no technology almost similar to our proposal that has been deployed in a real environment. We are working in to perfect our approach and deploy it in a real environment in the future. |
ICACT20220029 Question.7
Questioner: jianms@nfu.edu.tw 2022-02-16 오후 11:27:07 |
ICACT20220029 Answer.7
Answer by Auhor zakaria.sawado@gmail.com 2022-02-16 오후 11:27:07
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| Can you tell us which environment did you use for this research?Thanks your answer in advance. |
We conducted our experiment on an HP Z620 workstation with the following characteristics: Intel (R) Xeon (R) CPU E5- 2643 0 @ 3.30 GHz 3.30GHz (2 processors), RAM: 34 GB, on which we installed Windows 10, 64 bit operating system. We used Anaconda Navigator which is a graphical user interface(GUI) which integrates several development tools such as Jupiter, Spyder and allows the use of python 3.6 and Scikit-learn, a free Python library for machine learning |
ICACT20220029 Question.8
Questioner: bojsahsupeng@iii.org.tw 2022-02-19 오후 10:33:14 |
ICACT20220029 Answer.8
Answer by Auhor zakaria.sawado@gmail.com 2022-02-19 오후 10:33:14
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| The precision, recall and F1 score are pretty high which shows that UFILA approach doesn't need much adjustment. But what are the possible approaches to optimize the updating function? |
Thank you for your contribution, we have several ideas for the optimization of the discount function but we are testing them to be able to answer this question clearly. Your suggestions are welcome. |
