Good day friends.
I have a few questions regarding my project.
The project is mainly focused on IoT, network traffic classification, intrusion, machines learning/deep learning.
So, my questions, here, is:
1) Is it possible to test IoT datasets that were captured in Australia in other countries, since I want the study tp base in specific country context?
2) The study settings will be based on a smart city (smart toll tag) or a smart environment. But, the datasets I’m planning to use which are captured in Australia, are datasets of weather station, (which generate air pressure, temperature, etc), smart home ( motion activated light), smart fridge, remotely activated garages door, smart air conditioner (thermostat), etc.
What do you guys think? Is it possible?
Thanks!
Hello, I have doubt around it, maybe becaus I do not know in detail your idea. However, on the one hand, when we are talking about IoT, the idea is associated with a real-time data processing. On the other hand, when we talk about datasets (even very large), we are referring to a batch data processing model. If you want to recreate a new environment using data from monitoring stations...how do you ensure the consistency of both processing environments? Mainly thinking about the kind of available resources and algorithms to use.
You should check the features in that dataset if they are not related to the features of the country. the answer Yes, you can use it.
Or you can take a subset of features that are not related to the location of the country.
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