Commodity operating systems entrusted with securing sensitive data are remarkably large and complex, and consequently, frequently prone to compromise. To address this limitation, ...
Xiaoxin Chen, Tal Garfinkel, E. Christopher Lewis,...
In this paper, we have developed an operational semantic framework for a non-trival subset of Verilog which features event–driven computation, shared variable concurrency. The b...
We define an operational semantics and a type system for manipulating semistructured data that contains hidden information. The data model is simple labeled trees with a hiding op...
The goal of data fusion is to combine several representations of one real world object into a single, consistent representation, e.g., in data integration. A very popular operator...
We propose a new framework for discussing computational complexity of problems involving uncountably many objects, such as real numbers, sets and functions, that can be represente...