I am working with temperature data obtained from a network, and i need to identify when temperature sensings are legitimate(Haven't been modified by someone). To find this out, i must compare new sensings with the ones the network has collected already.
The problem is: when more than fifty percent of the data i have is illegitimate, i.e cannot be trusted, is there a way to reliably tell when the minority of the data is telling the truth?