Skip to main content

Find us on

facebook youtube flickr twitter itunes u logo

 

Past Programs  

mechael youtube

Keynote: Securing IT in Healthcare: Part III
Patty Mechael
mHealth Alliance
May 16, 2013

 nilsen youtube

Keynote: SITH3, Technology-Enabled Remote Monitoring and Support
Wendy Nilsen
National Institutes of Health (NIH)
May 17, 2013

sith3 panel1 youtube

Intersection of mHealth and Behavioral Health
SITH3 Workshop, Panel 1
May 17, 2013

 

Newsletter 

ists newsletter summer 2012

 

ISTS Information Pamphlet


2012BrochureCover

 

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]