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Upcoming Events

faculty guide

My Computer Ate My Data, Changed My Students' Grades and Stole My Money
OR
What all faculty need to know about securing their information
Friday May 18, 2012 at 12:30-2pm
DCAL Conference Room, 102 Baker Library

Santosh Kumar

Mobile Measurement of Behavioral and Social Health at Population Scale
Santosh Kumar
University of Memphis
Wednesday May 23 at 4:15pm
Steele 006
 

Past Programs

mcgraw youtube

Cyber War, Cyber Peace, Stones, and Glass Houses
Gary McGraw
Cigital, Inc.
April 26, 2012 

bigham video

Real-Time Crowd Support for People with Disabilities
Jeff Bigham
University of Rochester
November 15, 2011 

cyberops vid

Cyber Operations and National Security
A Panel Discussion
October 20, 2011

summer camp vid

CISO vs. Adversary
Healthcare Security Investment Game
July 7, 2011 

 


Institute for Security, Technology, and Society
Dartmouth College
6211 Sudikoff Laboratory
Hanover, NH 03755 USA
info.ists@dartmouth.edu

Anomaly Detection Based on User Mobility Patterns

Project Summary

The goal of this research is to identify anomalies automatically, based on user mobility patterns. By monitoring the time spent at various access points, we identify abnormal mobility patterns. We also provide a web-based tool for analyzing the mobility patterns. This tool visualizes the mobility patterns on geographical maps and allows an in-depth understanding of the abnormal mobility patterns detected by our anomaly detection mechanism.

  • Project Lead: Dr. Minkyong Kim