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Past Talks

John Stewart EPRI

John Stewart
Sr. Technical Leader, Cyber Security, EPRI
Securing Grid Control Systems
Friday, January 12, 2018
Sudikoff L045 Trust Lab
12:00 Noon

M. Todd Henderson

M. Todd Henderson
Professor of Law, University of Chicago
Hacking Trust: How the Social Technology of Cooperation Will Revolutionize Government
Thursday, January 11, 2018
Room 003, Rockefeller Center
Sponsored by: Rockefeller Center

Dr. Liz Bowman

Dr. Elizabeth Bowman
U.S. Army Research Laboratory
Artificial Intelligence, Machine Learning and Information: Army Social Computing Research
Tuesday, December 5th
Haldeman 041 Kreindler Conference Room
4:00 PM

Dr. Fabio Pierazzi

Dr. Fabio Pierazzi
Royal Holloway University of London
Network Security Analytics for Detection of Advanced Cyberattacks
Tuesday, November 28th
Sudikoff Trust Lab (L045)
12:30 PM

V.S. Subrahmanian

V.S. Subrahmanian
Dartmouth Distinguished Professor in Cybersecurity, Technology, and Society
Bots, Socks, and Vandals
Tuesday, November 14th
Carson L01
5:00 PM 

Rand Beers

Rand Beers ('64)
Big Data, the Internet, and Social Media:  The Road to the November 2016 Election
Wednesday, November 8th
Haldeman 41 (Kreindler Conference Hall)
4:30 PM 

Fright Night Imge

Wanna See Something REALLY Scary?
ISTS Looks at the Dark Web on Halloween Night
Tuesday, October 31st
udikoff  045 Trust Lab (dungeon)
7:30 PM - RSVP
Space is Limited 

Sal Stolfo

Salvatore J. Stolfo 
Columbia University
A Brief History of Symbiote Defense
Tuesday, October 31st
Rockefeller 003
5:00 PM

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

ISTS Information Pamphlet



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

Monitoring and Diagnosing SCADA Systems

Project Summary

In the control of infrastructure systems, an automation system, often referred to as a process control system (PCS) or supervisory control and data acquisition (SCADA) system, is critical to the safe, reliable, and efficient operation of many physical processes. PCS and SCADA are used extensively in such infrastructures as electric power, water, petroleum and natural gas, as well as in various manufacturing operations, and its use is growing in these sectors. The typical interpretation of the term "SCADA" includes the overall collection of control systems that measure, report, and change the processes. Essentially, any subsystem that electronically measures state, alters process control parameters, presents/stores/communicates data, or the management thereof, is subsumed in this projects concept of SCADA.

Monitoring and diagnosing normal and faulty behaviors in large-scale distributed infrastructures is a difficult technical problem. Among the difficulties are the facts that events are asynchronous and ambiguous with respect to causes and the behaviors, as describable by process models, are difficult to catalogue, represent and detect in realtime on a large scale. Researchers at the Thayer School of Engineering at Dartmouth have developed a powerful event correlation engine that can aggregate reports and event data from multiple heterogeneous distributed sensors, associate those events with dynamic process models and determine which combination of behaviors are most likely generating the observed event stream. This technology, called "Process Query Systems", has been implemented in software and demonstrated on network security, vehicle tracking and airborne plume detection (by a distributed sensor network) applications already. Dartmouth researchers will apply the Process Query System technology to the problem of monitoring and fault detection and diagnosis in large-scale distributed SCADA systems.

Last Updated: 9/9/15