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ICACT20210256 Question.1
Questioner: 201821562016@smail.xtu.edu.cn    2021-02-09 ¿ÀÈÄ 4:59:01
ICACT20210256 Answer.1
Answer by Auhor matasemsaleh@gmail.com   2021-02-09 ¿ÀÈÄ 4:59:01
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When developers input required data for encryption setup suggestion, How many suggestion may be obtained on an average? Assuming multiple suggestions are give at the same time, how will these options be verified? Thanks for your question and appreciate your interest. The number of suggested encryption is not fixed, it depends on the developer¡¯s inputs and the encryption behaviour. The suggested option can be verified by the developers on his device and can evaluate the option through the feedback where other developers can be benefited from his experience if it is positive and can be used for model improvement if it is not.
ICACT20210256 Question.2
Questioner: 201821562016@smail.xtu.edu.cn    2021-02-09 ¿ÀÈÄ 5:02:19
ICACT20210256 Answer.2
Answer by Auhor matasemsaleh@gmail.com   2021-02-09 ¿ÀÈÄ 5:02:19
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Since most IoT are developed from embedded systems/chips, Based on the design of these chips, Are there possible ways of actualizing Encryption Standardization?How? IoT suffers from lack of standardisation due to the devices heterogeneity and this is caused due to the vast environments and applications its used for. Therefor its not possible to standardise the encryption for IoT devices. In this regard our model is proposed to provide a support to IoT device designers, where our model will suggest all the possible encryption options based on the designer input data and will generate the impact of these suggested options on device parameters to simplify the developer choice.
ICACT20210256 Question.3
Questioner: 57399283@qq.com    2021-02-10 ¿ÀÈÄ 3:58:32
ICACT20210256 Answer.3
Answer by Auhor matasemsaleh@gmail.com   2021-02-10 ¿ÀÈÄ 3:58:32
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A machine learning approach introduces a reasonable and useful degree of flexibility. However, how is encryption standardization actualized? It's not possible to standardise encryption method for IoT devices for many well-known reasons which we already discussed them in our paper, therefor we believe that our model can provide a reasonable support to developers which is aimed to simplify their choice by listing them suitable encryption options based on their IoT device hardware parameters along with an image of those encryption impact on their hardware.