This part is the most complex one in this project, so please make sure to read it carefully.

You will write a function malicious$\_$detection$($time$\_$dif, threshold$)$ that returns a list predicted; containing $0$ normal $($normal transactions$)$ or $1$ detected $($malicious transactions$).$

The input parameters:

time$\_$dif: This is the $1$st list of timestamp differences retrieved from task $4,$ the card$\_$statistics$()$ function.

threshold: This is the threshold for the timestamp difference values you will use for filtering outliers $($i$.$e$.,$ malicious$).$ The default value is set to $0\mathrm{.}3($if below the threshold then malicious$).$