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CF
2011
ACM
14 years 6 months ago
SIFT: a low-overhead dynamic information flow tracking architecture for SMT processors
Dynamic Information Flow Tracking (DIFT) is a powerful technique that can protect unmodified binaries from a broad range of vulnerabilities such as buffer overflow and code inj...
Meltem Ozsoy, Dmitry Ponomarev, Nael B. Abu-Ghazal...
ICML
2005
IEEE
16 years 7 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
VTC
2008
IEEE
145views Communications» more  VTC 2008»
16 years 1 months ago
Channel Model for Train to Train Communication Using the 400 MHz Band
Abstract—This paper presents a channel model for direct trainto-train communication appropriate for the 400 MHz band. Extrapolation of theoretical and experimental results obtain...
Cristina Rico Garcia, Andreas Lehner, Thomas Stran...
ACSAC
2003
IEEE
16 years 3 days ago
Automatic Reassembly of Document Fragments via Context Based Statistical Models
Reassembly of fragmented objects from a collection of randomly mixed fragments is a common problem in classical forensics. In this paper we address the digital forensic equivalent...
Kulesh Shanmugasundaram, Nasir D. Memon
GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
16 years 1 days ago
Extracting Test Sequences from a Markov Software Usage Model by ACO
The aim of the paper is to investigate methods for deriving a suitable set of test paths for a software system. The design and the possible uses of the software system are modelled...
Karl Doerner, Walter J. Gutjahr