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, s...
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ISBN:
(纸本)9781538677575
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 metadata, to provide access control for NoSQL graph-oriented database management system. The goal is to support the development of applications that use graph-oriented database in preserving the integrity of stored data and protect them from non-authorized access. A case study was performed as proof of concept, where the model was instantiated and implemented for Neo4j database. Results showed that access restrictions were applied correctly, avoiding unauthorized access. A schema for Neo4j was provided, once it does not have a native one.
As technology evolves, frauds, in all their different forms, become increasingly more complex, as mega-processes such as Luanda Leaks or Panama Papers have recently shown. Fraud detection mechanisms must thus also res...
详细信息
ISBN:
(纸本)9783030623647;9783030623654
As technology evolves, frauds, in all their different forms, become increasingly more complex, as mega-processes such as Luanda Leaks or Panama Papers have recently shown. Fraud detection mechanisms must thus also resort to recent technological developments to ensure that even new forms of complex fraud are detected in time. In this paper we present a system to facilitate fraud detection in Public Procurement in Portugal. It relies on three main components. Data on public procurement and involved entities is acquired from public sources and integrated into a graph-oriented database. A rules-engine enriches these data with information additional information, using legal rules or custom rules defined by the users. Finally, a graph-oriented User Interface is used to support decision-making, allowing users to quickly and efficiently explore and filter information, in a natural and geo-referenced way. The main goal of this system is to increase transparency by facilitating access to relevant information, and in this way contribute to the fairness of the whole public procurement procedure.
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