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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
OpenGarages
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

 

DanTentler

"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

 

Newsletter 

Oct news 2015

 

ISTS Information Pamphlet


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

Secure Sensor Network Aggregation and Detection of Replicated Nodes

Abstract

Adrian PerrigThe low-cost, off-the-shelf hardware components in unshielded sensor-network nodes leave them vulnerable to compromise. With little effort, an adversary may capture nodes, analyze and replicate them, and surreptitiously insert these replicas at strategic locations within the network. We propose two algorithms, Randomized Multicast and Line-Selected Multicast, based on emergent properties to defend against these attacks.

Malicious nodes can also prevent data aggregation algorithms from obtaining the correct aggregation result. We present the first algorithm for provably secure hierarchical in-network data aggregation. Our algorithm is guaranteed to detect any manipulation of the aggregate by the adversary beyond what is achievable through direct injection of data values at compromised nodes.

These algorithms were developed in collaboration with Haowen Chan, Virgil Gligor, Bryan Parno, and Dawn Song.

Bio

Adrian Perrig is an Assistant Professor in Electrical and Computer Engineering, Engineering and Public Policy, and Computer Science at Carnegie Mellon University. He earned his Ph.D. degree in Computer Science from Carnegie Mellon University, and spent three years during his Ph.D. degree at University of California at Berkeley. He received his B.Sc. degree in Computer Engineering from the Swiss Federal Institute of Technology in Lausanne (EPFL). Adrian's research interests revolve around building secure systems and include Internet security, security for sensor networks and mobile applications. More information about his research is available on Adrian's web page. Adrian is a recipient of the NSF CAREER award in 2004, the IBM faculty fellowship in 2004 and 2005, and the Sloan research fellowship in 2006.