Emerging

No, I've got per the average amount that a certain keyword comes across in a phishing email on a given day. I want to test whether this amount grew since the pandemic (11th March). Something like an interupted timeseries analysis.

Hi all, I'm currently working on my masterthesis. It's about whether the pandemic has influenced the method of phishing that is done by criminals. I've got a dataset on phishing and I'm currently doing a keyword analysis by how many times a certain keyword comes across in phishing emails on a given day. I've normalized the count by dividing it by the number of phishing emails on that particular day (since the amount of emails per day varies). So, now the data looks like the average count of a given keyword in a email per day. Now I was wondering on how I can test this statistically, I'm thinking about a paired samples T-test. Where I've created 2 groups: before and after the start of the pandemic. Any suggestions? Thank you!

@Ghideon Thank you for the response as well. I think what I've been looking for is a kind of cause-effect research design. I agree that a case study is not such a good fit. I'm going to look into that! Unfortunately I'm getting handed the data in a couple of weeks, which makes this even harder.. anyway thank you for the suggestions!

Hey! Thank you for the responses. Sorry if my question wasn't completely clear! It's for the social sciences to be more precise the master of business studies: finance and markets (perhaps this forum is a bit more exact oriented). I'll be handed a dataset, so that's a relief. For a research design I mean a design such as experimental research design, quasi-experimental etc. I will be looking at the past (pre-corona) and present (post initial start corona). and not e.g. looking at the future (prediction). Preditction requires a differnt type of research design. I hope that's a bit clearer. @ahmetThank you! However I don't think regression is completely applicable here (though I might be wrong). I'll look into your suggestion about analyzing curves. Your suggestion at 4 and 4a is very helpful! In particular stating the timestamp of the "start" of the pandemic and look out for trends. @timo

Hi, My advisor told me to look into and work out a fitting research design for my Master Thesis. I'm writing this about the effect of the corona pandemic on the sale of phishing tools on the dark web. I'm going to analyze data from before the Corona-pandemic (to understand before the situation before the pandemic) and data after the initial beginning of the Corona-pandemic. Can anyone give me any advice on a fitting research design? I was thinking about a retrospective study, however I don't think that is that common in these type of studies. Or the emperical cycle? Thanks!