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My Computer Ate My Data, Changed My Students' Grades and Stole My Money
OR
What all faculty need to know about securing their information
February 3, 2012

Past Programs

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

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

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

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Adventures in SCADA
TROOPERS 2011
April 30, 2011

 

Newsletter - Summer/Fall 2010

summerfall newsletter

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

Distributed Intrusion Detection and Correlation

Project Summary

IDSsIRIA is investigating ways in which information from multiple, distributed intrusion detection systems (IDSs) can be used to detect attacks that would be invisible to any single system or whose significance would be missed if information from only a single system were available. For example, a distributed intrusion detection system could detect an impending distributed denial-of-service (DDOS) attack during the setup phase, when the attacker is collecting zombie machines to use against the ultimate target.

The system has demonstrated effective performance, both in terms of its ability to detect distributed attacks and its computational efficiency while doing so. Efforts to identify a commercialization partner are continuing as part of the normal ISTS technology transfer process.

  • Project Leads: Robert Gray, Susan McGrath
  • Documentation: Analysis of Distributed Intrusion Detection Systems Using Bayesian Methods [PDF Format]