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GenCyber 2016 - ISTS - High School Summer Program at Dartmouth College
June 27 - July 1, 2016 - 9am to 3pm

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Securing the e-Campus 2016 - Pre-conference Workshops July 11th; Conference July 12-13, 2016

Recent Talks

Craig Smith




You Don't Own Your Car
Craig Smith
Tuesday May 10, 2016 
Carson L02 @4:15

David Safford


Hardware Based Security for GE's Industrial Control Systems
David Safford
GE Global Research
Tuesday May 17, 2016
Carson L02 @4:15



"It's Fine," They Said. "Just Ship It," They Said.
Dan Tentler
The Phobos Group
Tuesday April 12, 2016 
Carson L02 @4:15

Harold Thimbleby




The Best Way to Improve Healthcare is to Improve Computers
Harold Thimbleby
Swansea University
April 23, 2015

Craig Shue




Managing User-Level Compromises in Enterprise Network
Craig Shue
Worcester Polytechnic Institute
March 31, 2015



Oct news 2015


ISTS Information Pamphlet



Institute for Security, Technology, and Society
Dartmouth College
6211 Sudikoff Laboratory
Hanover, NH 03755 USA

Data Assurance in Medical Sensor Applications

Project Summary

We expect that wearable, portable, and even embeddable medical sensors will enable long-term continuous medical monitoring for many purposes, such as patients with chronic medical conditions (such as the recently announced blood-sugar sensors for diabetics), people seeking to change behavior (e.g., losing weight, or quitting smoking), or athletes wishing to monitor their condition and performance. The resulting data may be used directly by the person, or shared with others: with a physician for treatment, with an insurance company for coverage, or by a trainer or coach. Such systems have huge potential benefit to the quality of healthcare and quality of life for many people.

Since the sensor data may be gathered through a patient's mobile device (such as a mobile phone), a wireless network, and the Internet, there are many opportunities for the sensor data to be tampered or otherwise inaccurate. How can we assess confidence in sensor data? How can we present that level of confidence, in context, with the sensor data? This project will develop methods to assess confidence in medical sensor data.

Last Updated: 4/1/15