20 documents found, page 1 of 2
Multi-Class Intrusion Detection in Internet of Vehicles: Optimizing Machine Lea...
Palma, Ágata; Antunes, Mário; Bernardino, Jorge; Alves, AnaThe Internet of Vehicles (IoV) presents complex cybersecurity challenges, particularly against Denial-of-Service (DoS) and spoofing attacks targeting the Controller Area Network (CAN) bus. This study leverages the CICIoV2024 dataset, comprising six distinct classes of benign traffic and various types of attacks, to evaluate advanced machine learning techniques for instrusion detection systems (IDS). The models ...
Experimental Evaluation of Graph Databases: JanusGraph, Nebula Graph, Neo4j, an...
Monteiro, Jéssica; Sá, Filipe; Bernardino, JorgeNoSQL databases were created with the primary goal of addressing the shortcomings in the efficiency of relational databases, and can be of four types: document, column, key-value, and graph databases. Graph databases can store data and relationships efficiently, and have a flexible and easy-to-understand data schema. In this paper, we perform an experimental evaluation of the four most popular graph databases: ...
ER+: A Conceptual Model for Distributed Multilayer Systems
Carvalho, Gonçalo; Bernardino, Jorge; Pereira, Vasco; Cabral, BrunoDistributed databases and data transformation mechanisms are highly relevant to Business Intelligence and Data Analytics. Most enterprise systems today have multiple and distributed databases, and the growing dissemination of Edge-Oriented architectures is driving this trend across many industries and business domains. The Entity-Relationship (ER) model is fundamental to modeling complex enterprise systems, but...
NewSQL Databases Assessment: CockroachDB, MariaDB Xpand, and VoltDB
Pina, Eduardo; Sá, Filipe; Bernardino, JorgeBackground: Relational databases have been a prevalent technology for decades, using SQL (Structured Query Language) to manage data. However, the emergence of new technologies, such as the web and the cloud, has brought the requirement to handle more complex data. NewSQL is the latest technology that incorporates the ability to scale and ensures the availability of NoSQL (Not Only SQL) without losing the ACID p...
Assessment of SQL and NoSQL Systems to Store and Mine COVID-19 Data
Antas, João; Silva, Rodrigo Rocha; Bernardino, JorgeCOVID-19 has provoked enormous negative impacts on human lives and the world economy. In order to help in the fight against this pandemic, this study evaluates different databases’ systems and selects the most suitable for storing, handling, and mining COVID-19 data. We evaluate different SQL and NoSQL database systems using the following metrics: query runtime, memory used, CPU used, and storage size. The data...
3iCubing: An Interval Inverted Index Approach to Data Cubes
Domingues, Marco; Silva, Rodrigo Rocha; Bernardino, JorgeThe increase in the amounts of information used to analyze data is problematic since the memory necessary to store and process it is getting quite big. The interval inverted index representation was developed to reduce the required memory to store data, and Frag-Cubing is one of the most popular algorithms. In this paper, we propose two new data cubing algorithms: 3iCubing and M3iCubing. 3iCubing is a Frag-Cubi...
Comparative Analysis of Data Modeling Design Tools
Carvalho, Gonçalo; Mykolyshyn, Sergii; Cabral, Bruno; Bernardino, Jorge; Pereira, VascoConceptual modeling describes the physical or social aspects of the world abstractly, encompassing the interpretation of data production, gathering, visualization, and analysis. The quality of the data analysis system will limit the excellence of any decision-making process. Thus, accurately specifying the physical data model is essential. The primary goal of our work is to compare tools that can create this ph...
Top data mining tools for the healthcare industry
Santos-Pereira, Judith; Gruenwald, Le; Bernardino, JorgeThe healthcare industry has become increasingly challenging, requiring retrieval of knowledge from large amounts of complex data to find the best treatments. Several works have suggested the use of Data Mining tools to overcome the challenges; however, none of them has suggested the best tool to do so. To fill this gap, this paper presents a survey of popular open-source data mining tools in which data mining t...
A Black Box Tool for Robustness Testing of REST Services
Laranjeiro, Nuno; Agnelo, João; Bernardino, JorgeREST services are nowadays being used to support many businesses, with most major companies exposing their services via REST interfaces (e.g., Google, Amazon, Instagram, and Slack). In this type of scenarios, heterogeneity is prevalent and software is sometimes exposed to unexpected conditions that may activate residual bugs, leading service operations to fail. Such failures may lead to nancial or reputation lo...
Using Data Mining to Assist in Predicting Reproductive Outcomes Following Varic...
Sousa, Ana Paula; Santos-Pereira, Judith; Freire, Maria José; Parada, Belmiro; Almeida Santos, Teresa; Bernardino, Jorge; Ramalho-Santos, JoãoWe carried out a retrospective analysis of infertile couple data using several methodologies and data analysis techniques, including the application of a novel data mining approach for analyzing varicocele treatment outcomes. The aim of this work was to characterize embolized varicocele patients by ascertaining the improvement of some of their clinical features, predicting the success of treatment via pregnancy...