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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
5:00pm-6:30pm 
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
S
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


2012BrochureCover

 

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

Data Mining for Detection of Network Intrusions

Project Summary

Data Mining for Intrusion Detection

  1. Stepping Stones: We have focused on the application of data-mining techniques to a particular problem: detecting "stepping stones,'' that is, a situation where someone is telnetting through a sequence of machines. The theory is that while some of these occurrences are innocent, hackers quite frequently use a series of steppingstones to get to their target, in order to minimize the chance that the intrusion can be traced to their home machine.
  2. Masqueraders: Using the recently published Bell-Labs benchmark data, where real users' logs of UNIX commands were modified by using real logs from another user in a small number of places, Mr. Yung investigated the problem of detecting "masqueraders," where one user gets control of the account of another. Yung developed a technique that beats all of the proposed techniques that have been developed for the problem represented by this data. In particular, he gets significantly smaller false-positive rates for a fixed false-negative rate. The big idea is constant revision of what "normal" behavior for a user means, as more data is gathered, and the user's behavior evolves slowly.
  • Project Lead: Jeffrey Ullman (Stanford)