Zerrendatu Ikerketa-DoktoregoTesiak honen arabera: ikerketa taldea "Análisis de datos y ciberseguridad"
9-tik 1-9 emaitza erakusten
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An attribute oriented induction based methodology to aid in predictive maintenance: anomaly detection, root cause analysis and remaining useful life
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2019)Predictive Maintenance is the maintenance methodology that provides the best performance to industrial organisations in terms of time, equipment effectiveness and economic savings. Thanks to the recent advances in technology, ... -
Behavioral modeling for anomaly detection in industrial control systems
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2013)In 1990s, industry demanded the interconnection of corporate and production networks. Thus, Industrial Control Systems (ICSs) evolved from 1970s proprietary and close hardware and software to nowadays Commercial Off-The-Shelf ... -
Cybersecurity Evaluation Methodology based on Metrics for Industrial Embedded Systems
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022)During the last decades, Embedded Systems (ESs) have evolved from isolated systems into a fully connected devices. Today, due to the development of processing capabilities, ESs have the ability to control or manage a wide ... -
Data minig approaches for analysis of worm activity toward automatic signature generation
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2007)En esta tesis se propone un marco para el análisis de tráfico no solicitado (como intentos de propagación de gusanos informáticos) recopilados por un sistema de monitorización de red. El análisis de esta información puede ... -
Design and validation of a methodology to implement data-driven predictive maintenance in industrial environments
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2021)New trends in manufacturing and industry lead to digitalise all processes, machines and communicate them forming Cyber Physical Systems (CPS), facilitating process monitoring and data acquisition. The analysis of that ... -
Dimensionality reduction for the improvement of anti-spam filters
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022)Nowadays, spam represents more than 45% of the world’s email traffic. Filtering techniques to combat the problem of spam distribution have been the subject of many research studies in recent years. Several combinations of ... -
Early diagnosis of disorders based on behavioural shifts and biomedical signals
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2017)There are many disorders that directly affect people’s behaviour. The people that are suffering from such a disorder are not aware of their situation, and too often the disorders are identified by relatives or co-workers ... -
New approaches for content-based analysis towards online social network spam detection
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2016)Unsolicited email campaigns remain as one of the biggest threats affecting millions of users per day. Although spam filtering techniques are capable of detecting significant percentage of the spam messages, the problem is ... -
Técnicas de minería de datos aplicadas a series temporales bursátiles
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2007)Analizar grandes cantidades de datos con rapidez es uno de los mayores retos a los que se enfrentan las empresas hoy en día. Los sistemas informáticos ofrecen la posibilidad de almacenar gran cantidad de datos pero es ...
