SCIENTIFIC PAPERS

Authors:

  • Nádia Medeiros, Naghmeh Ivaki, Marco Vieira (University of Coimbra) and Pedro Costa (University of Coimbra & Polytechnic Institute of Coimbra) - Portugal

Trustworthiness is a paramount concern for users and customers in the selection of a software solution, specially in the context of complex and dynamic environments, such as Cloud and IoT. However, assessing and benchmarking trustworthiness (worthiness of software for being trusted) is a challenging task, mainly due to the variety of application scenarios (e.g., business critical, safety-critical),...

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Authors:

  • João R. Campos, Marco Vieira, Ernesto Costa, DEI/CISUC, University of Coimbra, Portugal

The growing complexity of software makes it difficult or even impossible to detect all faults before deployment, and such residual faults eventually lead to failures at runtime. Online Failure Prediction (OFP) is a technique that attempts to avoid or mitigate such failures by predicting their occurrence based on the analysis of past data and the current state of a system. Given recent technological developments, Machine Learning (ML) algorithms have shown their ability...

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  • Alexandre Braga and Ricardo Dahab - University of Campinas (Brazil)

The widespread misuse of cryptography in software systems is the most frequent source of cryptography-related security problems. Several misuses of cryptography have been found to be recurrent in software in general, resulting in vulnerabilities exploitable in real attacks. There is a huge gap between what cryptologists see as misuses of cryptography and what developers see as unsafe use of cryptographic technology. This chapter contributes to fill this gap by addressing the...

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  • Leandro Marinho, Jefferson Caldeira, Ricardo S. Oliveira - Federal University of Campina Grande (Brazil)
  • Christoph Trattner - University of Bergen (Norway)

We are often unable to plan menus ahead, thus making poor and unhealthy choices of meals. Besides healthy, one may want menus in which ingredients harmonize and cover well the available ingredients in the pantry. In this paper, we propose a novel multi-objective-based recommender of menus that features an optimal balance between nutritional aspects, harmony and coverage of...

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  • Altigran da Silva, Edleno de Moura and Rosiane Rodrigues - Federal University of Amazonas (Brazil)
  • Péricles de Oliveira - NOKIA Solutions and Networks
  • Li Zhang - IBM T. J. Watson Research Center, NY, USA

Several systems for processing keyword queries over relational databases rely on the generation and evaluation of Candidate Networks (CNs), i.e., networks of joined relations that when processed as SQL queries, provide a relevant answer to the input keyword query. Although the evaluation of CNs has...

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Authors:

  • Eugenio Gianniti e Danilo Ardagna - Politecnico di Milano, Milan, Italy
  • Li Zhang - IBM T. J. Watson Research Center, NY, USA

Recent years saw an increasing success in the application of deep learning methods across various domains and for tackling different problems, ranging from image recognition and classification to text processing and speech recognition. In this paper we propose and validate an approach to model the execution time for training convolutional neural...

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Authors:

  • Hebert Silva, Tania Basso, Regina Moraes - University of Campinas, Limeira, Brazil
  • Donatello Elia, Sandro Fiore - Euro-Mediterranean Center for Climate Change (CMCC), Lecce, Italy

Preserving individual privacy is one of the major issues in the context of Big Data, since handling huge volumes of data may contribute to the disclosure of sensitive or personally identifiable information. In fact, even when data is anonymized there is a risk of re-identification through privacy attacks. This paper presents a re-identification risk-based anonymization...

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Authors: Claudia Morgadoy, Gisele Busichia Baioco, Tania Basso, Regina Moraes - University of Campinas, Limeira, Brazil

Nowadays, organizations collect vast amounts of data for future analysis. Motivated by this amount of data and requirements of Web2.0, a plethora of non-relational databases (NoSQL) emerged in recent years. However, several security features in relational databases (e.g., access control) have been left in non-relational management systems to be developed by the application, which can raise security breaches. This paper proposes a security model, based on the use of...

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Authors: Francisco Brasileiro and Andrey Brito, from Department of Systems and Computing Universidade Federal de Campina Grande Ignacio Blanquer, Institute of Instrumentation for Molecular Imaging (I3M) Universitat Politecnica de Valencia - CSIC

This paper describes the goals of the ATMOSPHERE project, which is a multi-institutional research and development (R&D) effort aiming at designing and implementing a framework and platform to develop, build, deploy, measure and evolve trustworthy, cloud-enabled applications. The proposed system should address the federation of geographically distributed cloud computing providers that rely on lightweight virtualization, and provide access to heterogeneous sets of resources. We discuss some preliminary results, including the architecture that has been proposed to address these challenges...

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Authors: Tania Basso and Regina Moraes (University of Campinas), Nuno Antunes and Marco Vieira (University of Coimbra)

Frequently users have to provide personal information for being able to use web applications and services. They are commonly confronted with a privacy policy that they must accept, implicitly trusting the provider organization to protect their privacy. The recent trend to develop frameworks for privacy policy definition has moved the state-of-the-art forward, but did not solve the main problems: allow users to express their privacy requirements and assure that these requirements will be enforced. This paper discusses the main challenges towards the development of privacy-aware web...

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