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Abstract

(Submitting on behalf of the MIT Army ROTC and West Point combined group).

Problem Statement

Using an open-source social media data set and important dates, what can we determine about an individual’s activity and pattern of life-based on their online signature? Can we determine an individual’s pattern of life for our teammates at home in an automated way Where are we creating digital exhaust? What techniques could be applied to finding interesting behavior in adversaries?

Proposal

Using web scraping of social media profiles, we plan on constructing a relationship graph between members of an organization in order to gather hierarchical information. Additionally, by analyzing abnormalities in traffic patterns around significant areas relating to this organization, we hope to find ways to predict key events within the organization. Lastly, by scanning for Wi-Fi probe requests, we hope to construct a dataset of Wi-Fi networks to fingerprint members of this organization, along with extracting more information about their

pattern of life.

Challenges and Unknowns

The biggest challenge is either creating or accessing a fake dataset of social media account information in order to test their program. 

Comments

cwdavis3 | 9 November 2021

Perhaps you could practice on the accounts of the proposing ignite team's cadets?  Behavior will not necessarily be representative but analogies could be made?  (Tracking exams, sports events, holidays?)