The data contents of an information system may be corrupted due to security breaches or
human errors. This project focuses on intrusion tolerance techniques that speed up the …

False data injection is a severe attack that compromised sensor nodes (" moles" 1) can
launch. These moles inject large amount of bogus traffic that can lead to application failures …

The proliferation of sensors over the last years has generated large amounts of raw data,
forming data streams that need to be processed. In many cases, cloud resources are used …

This paper describes a rationale behind designing workflow systems based on the Unix
make by showing a number of idioms useful for workflows comprising many tasks. It also …

Computer vision is experiencing an AI renaissance, in which machine learning models are
expediting important breakthroughs in academic research and commercial applications …

Bioinformatics researchers need efficient means to process large collections of genomic
sequence data. One application of interest, genome assembly, has great potential for …

In computer science, data-dependent control flow is the fundamental concept that enables a
machine to change its behaviour on the basis of intermediate results. This ability increases …

Given the arrival of multicore processors, it has become a matter of urgency to introduce
parallel programming into mainstream computing. In emerging applications, a class of …

A cloud computer provides a simple interface that allows end users to allocate large
amounts of computing power and storage space at the touch of a button. However, many …

We describe a method for evaluating computational turbulence queries, including Lagrange
Polynomial interpolation, based on partial sums that allows the underlying data to be …