Ingrid Verbauwhede - Palo Alto CA, US Patrick Schaumont - Blacksburg VA, US David Hwang - Irvine CA, US Shenglin Yang - Boise ID, US Kazuo Sakiyama - Leuven-Heverlee, BE Yi Fan - Valencia CA, US Alireza Hodjat - Santa Monica CA, US
International Classification:
H04K 1/00
US Classification:
713186000
Abstract:
A secure embedded system that uses cryptographic and biometric signal processing acceleration is described. In one embodiment, the secure embedded system is configured as a wireless pay-point protocol for brick-and-mortar and e-commerce applications in which biometric information is localized and does not require transmission of biometric data for authentication. In one embodiment, a key-generation function uses a dynamic key generator and static biometric components. In one embodiment, an embedded system design methodology provides hardware and software acceleration transparency.
Secure Rfid Based Ultra-Wideband Time-Hopped Pulse-Position Modulation
Dong Ha - Blacksburg VA, US Patrick Schaumont - Blacksburg VA, US
International Classification:
H04Q 5/22
US Classification:
340010100, 340572100, 340010340, 375138000
Abstract:
A radio-frequency-identification (RFID) system includes an RFID tag and an RFID reader, where the RFID reader is configured to communicate with the RFID tag using time-hopped pulse-position modulation and ultra-wideband modulation. The time-hopped pulse-position modulation includes sending from the RFID tag to the RFID reader a series of pulses in time slots selected by the RFID tag through a cryptographically secure pseudo-random generator.
Microprocessor Fault Detection And Response System
- Blacksburg VA, US Patrick R. Schaumont - Blacksburg VA, US
International Classification:
G06F 11/14 G06F 21/71
Abstract:
Aspects disclosed in the detailed description include a microprocessor fault detection and response system. The microprocessor fault detection and response system utilizes a hardware-based fault-attack aware microprocessor extension (FAME) and a software-based trap handler for detecting and responding to a fault injection on a microprocessor. Upon detecting the fault injection, the hardware FAME switches the microprocessor from a normal mode to a safe mode and instructs the microprocessor to invoke the software-based trap handler in the safe mode. The hardware-based FAME provides fault recovery information to the software-based trap handler via a fault recovery register (FRR) for restoring the microprocessor to a fault-free state. By utilizing a combination of the hardware-based FAME and the software-based trap handler, it is possible to effectively protect the microprocessor from malicious fault attacks without significantly increasing performance and area overheads.
Virginia Polytechnic Institute and State University - Blacksburg, Virginia since Jun 2011
Associate Professor
Virginia Polytechnic Institute and State University Aug 2005 - Jun 2011
Assistant Professor
UCLA Jul 2001 - Jun 2005
PhD Student
IMEC Jan 1992 - Jun 2001
Researcher
Education:
University of California, Los Angeles 2001 - 2004
PhD, Electrical Engineering
Universiteit Gent 1990 - 1991
MS, Computer Science
Hogeschool Gent 1986 - 1990
Ing, Electronic Engineering
Skills:
Embedded Systems Computer Science Computer Architecture Computer Security Security Cryptography Fpga Computer Engineering Programming C Linux Verilog