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Securing the e-Campus 2017 - Exact time and dates TBD

Recent Talks

Dan Wallach

STAR-Vote: A Secure, Transparent, Auditable and Reliable Voting System

Professor Dan Wallach
Rice University
Thursday April 27, 2017
Carson L01, 5:00 PM

Ben Miller Dragos

Pandora's Power Grid - What Can State Attacks Do and What Would be the Impact?

Ben Miller
Chief Threat Officer, Dragos, Inc.
Tuesday May 2, 2017
Kemeny 007, 4:30 PM
Brendan Nyhan




Factual Echo Chambers? Fact-checking and Fake News in Election 2016.

Professor Brendan Nyhan
Dartmouth College
Thursday May 4, 2017
Rocky 001, 5:00 PM

Dickie George


Espionage and Intelligence

Professor Dickie George
Johns Hopkins University
Thursday May 11, 2017
Rocky 001, 5:00 PM

Dan Wallach

A Nation Under Attack: Advanced Cyber-Attacks in Ukraine

Ukrainian Cybersecurity Researchers
Thursday April 6, 2017
Oopik Auditorium 5:30 PM

RIOTS logo 

Professor Sean Smith, Director of the ISTS and Bill Nisen, Associate Director, spoke at the

School House residential cluster on the Internet of Risky Things  - February 21, 2017, 5:30 PM

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
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Robust and Predictable Network Anomaly Detectors


Dr. Greg ShannonIn spite of our best efforts to protect the national infrastructure against cyber threats, our adversaries continue to enjoy asymmetric advantages against our defenses. After we summarize how our adversaries use the properties of complexity and scale to their advantage, we discuss how we can leverage those same properties to defended mission-critical networks with robust and predictable network anomaly detectors. In particular, we describe CounterStorm's UPAD (unsupervised parametric anomaly detection) and SPA (statistical payload analysis) sensors, and demonstrate how these robust and predictable sensors detect targeted attacks such as botnets, worms and data exfiltration. We believe that such statistical anomaly detection sensors will continue to evolve as increasingly valuable tools for defending critical networks against malicious adversaries.


Dr. Greg Shannon, as Chief Scientist, is the principle investigator for CounterStorm's two SBIR Phase II awards from DHS. He joined CounterStorm in 2003 after leading R&D teams at Lucent, Indiana University and other startups. He received his PhD from Purdue University and his B.S. from Iowa State University. His specialties are the design and analysis of algorithms, data mining and analysis, and network security.