Is anyone willing to share email server honey pot data to trace scams?

 The internet is a wonderful thing but some people use it as a tool to do crimes which predate the internet such as theft and money laundering and few criminologists have skills in dealing with seven continents and their subgroups of languages, religious beliefs, genders, ages. I heard a talk about comparing epidemiologist with finding risk factors for those behaviors that put computer users at risk for being hacked (characteristics making victimization possible (the action of signaling someone out for cruel or unjust treatment)). Is it possible to work backwords and find geopolitical and economic patterns that might cause a person towards cybercrime . I have three examples, one is the suspected hacking of Sony Pictures America by North Korea as retribution for producing the film The Interview. The second example is the hacking of Estonia by Russia during the evolution and the third is provided in the document below. Peter Norvig at Google gave a talk on computers being able to detect similar images but may not have our taxonomy. I think that we can use Twitter and a database of actual spam messages with their header including IP address. Using a whois database such as senderbase we can find the orgins. A lot of security is reactive once an attack has been aimed at a corporation, even if it gets blocked. What we need to do is to find patterns and I think regional news can help. I hope to have a collection of honeypot email servers which attracts mail from spammers reach out to organizations who have existing honey pot email servers so I can get spam email messages with header intact so I can investigate where they are coming from. One of the ways public private partnerships is that no one wants to be defrauded. I believe as long as we can make personas for why the honeypot got the spam, then we can work with this data and mine it using knime open source, senderbase, whois, online intelligence databases, Mozilla ELK, and apache natural language tools. I know there are also some open source tools through Stanford, Gate, nltk, Microsoft Flow,