Research Buffet
Wednesday, September 7, 2011
3147 MEB
Refreshments 3:40 p.m.
Lecture 4:00 p.m.
Adam Bargteil
Assistant Professor
Title: Physics-based Animation
Wednesday, September 7, 2011
3147 MEB
Refreshments 3:40 p.m.
Lecture 4:00 p.m.
Adam Bargteil
Assistant Professor
Title: Physics-based Animation
Abstract
In this talk I will discuss physics-based approaches to animation in the context of a number of my projects.
Sneha Kasera
Associate Professor
Title: Securing Wireless Networks Using Unique Device and Link Characteristics
In this talk I will discuss physics-based approaches to animation in the context of a number of my projects.
Sneha Kasera
Associate Professor
Title: Securing Wireless Networks Using Unique Device and Link Characteristics
Abstract
We explore the use of unique device characteristics that we call fingerprints, and unique wireless link characteristics that we call link signatures, for enhancing wireless network security. Our fingerprinting research complements the traditional password and certificate methods for authenticating and identifying devices. Specifically, we show how the clock skew of an access point can be used as its fingerprint to detect unauthorized access points in wireless local area networks quickly and accurately.
We use link signatures to address the problem of a secure secret key establishment between two wireless devices that are within the range of each other. We develop methods for secret key extraction from received signal strength variations on the wireless link between the two devices. We use real world measurements to demonstrate the effectiveness of our methods in different environments. We also show a new predictable key generation attack in static environments.
We explore the use of unique device characteristics that we call fingerprints, and unique wireless link characteristics that we call link signatures, for enhancing wireless network security. Our fingerprinting research complements the traditional password and certificate methods for authenticating and identifying devices. Specifically, we show how the clock skew of an access point can be used as its fingerprint to detect unauthorized access points in wireless local area networks quickly and accurately.
We use link signatures to address the problem of a secure secret key establishment between two wireless devices that are within the range of each other. We develop methods for secret key extraction from received signal strength variations on the wireless link between the two devices. We use real world measurements to demonstrate the effectiveness of our methods in different environments. We also show a new predictable key generation attack in static environments.