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Type analysis of Prolog is of primary importance for high-performance compilers, since type information may lead to better indexing and to sophisticated specializations of unification and built-in predicates to name a few. However, these optimizations often require a sophisticated type inference system capable of inferring disjunctive and recursive types(More)
Digital watermarking for relational databases emerged as a candidate solution to provide copyright protection, tamper detection, traitor tracing, maintaining integrity of relational data. Many watermarking techniques have been proposed in the literature to address these purposes. In this paper, we survey the current state-of-the-art and we classify them(More)
In this paper we introduce a distortion free invisible watermarking technique for relational databases. The main idea is to build the watermark after partitioning tuples with actual attribute values. Then, we build hash functions on top of this grouping and get a watermark as a permutation of tuples in the original table. As the ordering of tuples does not(More)
Protecting the confidentiality of information stored in a computer system or transmitted over a public network is a relevant problem in computer security. The approach of information flow analysis involves performing a static analysis of the program with the aim of proving that there will not be leaks of sensitive information. In this paper we propose a new(More)
D The domain Prop [11, 30] is a conceptually simple and elegant abstract domain to compute groundness information for Prolog programs, where abstract substitutions are represented by Boolean functions. Prop has raised much theoretical interest recently, but little is known about the practical accuracy and efficiency of this domain. Experimental evaluation(More)
A static analysis is presented, based on the theory of abstract interpretation, for verifying privacy policy compliance by mobile applications. This includes instances where, for example, the application releases the user's location or device ID without authorization. It properly extends previous work on datacentric semantics for verification of privacy(More)
We revisit the abstract domain Prop for analyzing variable groundness in logic programs. This very elegant domain, introduced by Marriott and Sflndergaard, consists of (equivalence classes of) propositional formula whose propositional variables correspond to program variables with truth assignments indicating which program variables are ground. Some(More)