My master thesis is about "Managing Spam Under IPv6". I would like to use machine learning algorithm on information retrieved from mail headers in order to sort out spams from legitimate mails. To do my testings I obviously need a huge dataset of spams and legitimate emails (hams). Unfortunately I have been unable to find a large enough dataset of IPv6 spams and legitimate emails (hams) on internet datasets. Does anyone know of such a dataset in the public domain?
Alternatively, any ideas in order to create my own dataset would be greatly appreciated! Are there any researchers who work in this domain that I could contact?
For now I am basically using gmail spams from some friends of me, I can find few ipv6 spams but the amount I need is much larger if I want exploitable results from the machine learning ...
PS: I know this is not the best kind of question to ask on steckexchange, since it leads more to an open discussion, but I really need help and this is for the sake of science so please be indulgent ^^