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...
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...Read More
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...Read More
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...Read More
This paper provides an overview of the tools and methodologies for data privacy protection that can cope with the challenges raised by the Big Data storage and analytics processing, with focus on anonymity. Preserving individual privacy is one of the major issues in the context of Big Data, as while handling huge volumes of data, it is possible that sensitive or personally identifiable information ends up disclosed. In fact, even when dealing with anonymized raw data, sensitive information may be extracted through analytics. Preserving anonymity is...Read More