This paper introduces a new class of optical fault injection attacks called bumping attacks. These attacks are aimed at data extraction from secure embedded memory, which usually s...
The general purpose optimization method known as Particle Swarm Optimization (PSO) has received much attention in past years, with many attempts to find the variant that performs ...
The most often used approaches to obtaining and using residuals in applied work with time series models, are unified and documented with both partially-known and new features. Spe...
We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
Abstract We address the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. We follow a two-step methodology: first we iden...