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...
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...
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...
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...
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...