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EvoWild: a demosimulator about wild life
During the last years we can see how AI (Artificial Intelligence) is reappearing because of technological improvements. These improvements make possible the management of large groups of information with acceptable reply ...
AIIDA-SQL: An Adaptive Intelligent Intrusion Detector Agent for detecting SQL Injection attacks
(08/23/2010)
SQL Injection attacks on web applications have become one of the most important information security concerns over the past few years. This paper presents a hybrid approach based on the Adaptive Intelligent Intrusion ...
A case-based reasoning approach to reuse quality-driven designs in service-oriented architectures
(Pergamon-Elsevier Science Ltd, 2018-09)
Service-Oriented Architecture (SOA) has become a dominant approach for developing distributed enterprise-wide applications. Most organizations capitalize on SOA by discovering and reusing services already accessible over ...
Ferramenta para apoio ao suporte técnico em uma rede FTTx empregando raciocínio baseado em casos
(Universidade Federal de Santa MariaBrasilUFSMUFSM Frederico Westphalen, 2015-12-11)
This paper presents the development of a tool capable to store
information of existing equipment in an internet provider, which uses the FTTx
network technology. From this information, reports can be generated and,
with ...
SiC: An agent based architecture for preventing and detecting attacks to ubiquitous databases
(2009-07-01)
One of the main attacks to ubiquitous databases is the structure query language (SQL) injection attack, which causes severe damages both in the commercial aspect and in the user’s confidence. This chapter proposes the SiC ...
A Distributed Hierarchical Multi-agent Architecture for Detecting Injections in SQL Querie
(2010-07-02)
SQL injections consist in inserting keywords and special symbols in the parameters of SQL queries to gain illegitimate access to a database. They are usually identified by analyzing the input parameters and removing the ...
Explainable prediction of chronic renal disease in the Colombian population using neural networks and case-based reasoning
This paper presents a neural network-based classifier to predict whether a person is at risk of developing chronic kidney disease (CKD). The model is trained with the demographic data and medical care information of two ...