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Publicações

Publicações por HASLab

2010

Bringing class diagrams to life

Autores
Barbosa, LS; Meng, S;

Publicação
Innovations in Systems and Software Engineering

Abstract
Research in formal methods emphasizes a fundamental interconnection between modeling, calculation and prototyping, made possible by a common unambiguous, mathematical semantics. This paper, building on a broader research agenda on coalgebraic semantics for Unified Modeling Language diagrams, concentrates on class diagrams and discusses how such a coalgebraic perspective can be of use not only for formalizing their specification, but also as a basis for prototyping. © Springer-Verlag London Limited 2009.

2010

Preface

Autores
Barbosa, LS; Cerone, A; Shaikh, SA;

Publicação
ECEASST

Abstract

2010

Certification of open-source software: A role for formal methods?

Autores
Barbosa, LS; Cerone, A; Petrenko, AK; Shaikh, SA;

Publicação
COMPUTER SYSTEMS SCIENCE AND ENGINEERING

Abstract
Despite its huge success and increasing incorporation in complex, industrial-strength applications, open source software, by the very nature of its open, unconventional, distributed development model, is hard to assess and certify in an effective, sound and independent way. This makes its use and integration within safety or security-critical systems, a risk. And, simultaneously an opportunity and a challenge for rigourous, mathematically based, methods which aim at pushing software analysis and development to the level of a mature engineering discipline. This paper discusses such a challenge and proposes a number of ways in which open source development may benefit from the whole patrimony of formal methods.

2010

Strong Knowledge Extractors for Public-Key Encryption Schemes

Autores
Barbosa, M; Farshim, P;

Publicação
INFORMATION SECURITY AND PRIVACY

Abstract
Completely non-malleable encryption schemes resist attacks which allow an adversary to tamper with both ciphertexts and public keys. In this paper we introduce two extractor-based properties that allow us to gain insight into the design of such schemes and to go beyond known feasibility results in this area. We formalise strong plaintext awareness and secret key awareness and prove their suitability in realising these goals. Strong plaintext awareness imposes that it is infeasible to construct a ciphertext under any public key without knowing the underlying message. Secret key awareness requires it to be infeasible to produce a new public key without knowing a corresponding secret key.

2010

Relations among Notions of Complete Non-malleability: Indistinguishability Characterisation and Efficient Construction without Random Oracles

Autores
Barbosa, M; Farshim, P;

Publicação
INFORMATION SECURITY AND PRIVACY

Abstract
We study relations among various notions of complete non-malleability, where an adversary can tamper with both ciphertexts and public-keys, and ciphertext indistinguishability. We follow the pattern of relations previously established for standard non-malleability. To this end, we propose a more convenient and conceptually simpler indistinguishability-based security model to analyse completely non-malleable schemes. Our model is based on strong decryption oracles, which provide decryptions under arbitrarily chosen public keys. We give the first precise definition of a strong decryption oracle, pointing out the subtleties in different approaches that can be taken. We construct the first efficient scheme, which is fully secure against strong chosen-ciphertext attacks, and therefore completely non-malleable, without random oracles.

2010

Rules for contrast sets

Autores
Azevedo, PJ;

Publicação
INTELLIGENT DATA ANALYSIS

Abstract
In this paper we present a technique to derive rules describing contrast sets. Contrast sets are a formalism to represent groups differences. We propose a novel approach to describe directional contrasts using rules where the contrasting effect is partitioned into pairs of groups. Our approach makes use of a directional Fisher Exact Test to find significant differences across groups. We used a Bonferroni within-search adjustment to control type I errors and a pruning technique to prevent derivation of non significant contrast set specializations.

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