2016 Symposium Posters

Posters > 2016

Exploring Deception with Machine Learning and Data Mining


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Primary Investigator:
Research Independant

Project Members
Wesley LaFleur
Abstract
The purpose of this research is to explore the possibilities of adding machine learning and data mining tactics to current deception software (e.g. honeypots) in an effort to see what can be gathered, analyzed, and sent off to companies who create threat detection/prevention software.

Our annual information security symposium will take place on April 3rd and 4th, 2018.
Purdue University, West Lafayette, IN