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    •   Mondragon Unibertsitatea's Institutional Policy on Open Access to scientific documents and teaching materials
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Remote maintenance support with the aid of cyber-physical systems and cloud technology 

Zurutuza, Urko; Gorostegui, Unai (Sage Journals, 2018)
This article discusses how a business model based on traditional maintenance can evolve to generate servitization strategies, with the help of remote maintenance support. The application of cyber-physical systems and cloud ...
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The Way Cyber Physical Systems Will Revolutionise Maintenance 

Zurutuza, Urko (CISTER Research Center, 2017)
The way maintenance is carried out is altering rapidly. The introduction of Cyber Physical Systems (CPS) and cloud technologies are providing new technological possibilities that change dramatically the way it is possible ...
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Short Messages Spam Filtering Combining Personality Recognition and Sentiment Analysis 

Ezpeleta, Enaitz; Garitano, Iñaki; Zurutuza, Urko (World Scientific Publishing, 2017)
Currently, short communication channels are growing up due to the huge increase in the number of smartphones and online social networks users. This growth attracts malicious campaigns, such as spam campaigns, that are a ...
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Software Defined Networking Opportunities for Intelligent Security Enhancement of Industrial Control Systems 

Sainz Oruna, Mikel; Iturbe, Mikel; Garitano, Iñaki; Zurutuza, Urko (Springer International Publishing, 2017)
In the last years, cyber security of Industrial Control Systems (ICSs) has become an important issue due to the discovery of sophisticated malware that by attacking Critical Infrastructures, could cause catastrophic safety ...
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Cyber Physical System Based Proactive Collaborative Maintenance 

Zurutuza, Urko; Uribeetxeberria, Roberto (IEEE, 2016)
The aim of the MANTIS project is to provide a proactive maintenance service platform architecture based on Cyber Physical Systems. The platform will allow estimating future performance, predicting and preventing imminent ...
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Short Messages Spam Filtering Using Sentiment Analysis 

Ezpeleta, Enaitz; Zurutuza, Urko (Springer International Publishing, 2016)
In the same way that short instant messages are more and more used, spam and non-legitimate campaigns through this type of communication systems are growing up. Those campaigns, besides being an illegal online activity, ...
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On the Feasibility of Distinguishing Between Process Disturbances and Intrusions in Process Control Systems using Multivariate Statistical Process Control 

Iturbe, Mikel; Garitano, Iñaki; Zurutuza, Urko; Uribeetxeberria, Roberto (IEEE, 2016)
Process Control Systems (PCSs) are the operat-ing core of Critical Infrastructures (CIs). As such, anomalydetection has been an active research field to ensure CInormal operation. Previous ...
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Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance 

Larrinaga, Felix; Garitano, Iñaki; Zugasti, Ekhi; Zurutuza, Urko (2018)
This paper presents the implementation of a refer-ence architecture for Cyber Physical Systems (CPS) to supportCondition Based Maintenance (CBM) of industrial assets. The article focuses on describing how the MANTIS ...
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Providing Proactiveness: Data Analysis Techniques Portfolios 

Zugasti, Ekhi; Zurutuza, Urko (River Publishers, 2018)
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Introduction 

Zurutuza, Urko (River Publishers, 2018)
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Towards Large-Scale, Heterogeneous Anomaly Detection Systems in Industrial Networks: A Survey of Current Trends 

Iturbe, Mikel; Garitano, Iñaki; Zurutuza, Urko; Uribeetxeberria, Roberto (The Wiley Hindawi Partnership, 2017)
Industrial Networks (INs) are widespread environments where heterogeneous devices collaborate to control and monitor physical processes. Some of the controlled processes belong to Critical Infrastructures (CIs), and, as ...
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The MANTIS Book. Cyber Physical System Based Proactive Collaborative Maintenance 

Zurutuza, Urko (River Publishers, 2018)
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Success Stories on Real Pilots 

Zurutuza, Urko; Zugasti, Ekhi; Larrinaga, Felix (River Publishers, 2018)
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A Big Data implementation of the MANTIS Reference Architecture for Predictive Maintenance 

Larrinaga, Felix; Zugasti, Ekhi; Garitano, Iñaki; Zurutuza, Urko (Sage Journals, 2019)
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A study of the personalization of spam content using Facebook public information 

Ezpeleta, Enaitz; Zurutuza, Urko (Oxford University Press, 2017)
Millions of users per day are affected by unsolicited email campaigns. Spam filters are capable of detecting and avoiding an increasing number of messages, but researchers have quantified a response rate of a 0.006% [1], ...
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A Mood Analysis on Youtube Comments and a Method for Improved Social Spam Detection 

Ezpeleta, Enaitz; Iturbe, Mikel; Garitano, Iñaki; Velez de Mendizabal, Iñaki; Zurutuza, Urko (Springer, 2018)
In the same manner that Online Social Networks (OSN) usage increases, non-legitimate campaigns over these types of web services are growing. This is the reason why signi cant number of users are affected by social spam ...
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Null is Not Always Empty: Monitoring the Null Space for Field-Level Anomaly Detection in Industrial IoT Environments 

Zugasti, Ekhi; Garitano, Iñaki; Iturbe, Mikel; Zurutuza, Urko (IEEE, 2018)
Industrial environments have vastly changed sincethe conception of initial primitive and isolated networks. Thecurrent full interconnection paradigm, where connectivity be-tween different devices and the Internet has become ...
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A neural-visualization IDS for honeynet data 

Zurutuza, Urko (World Scientific, 2012)
Neural intelligent systems can provide a visualization of the network traffic for security staff, in order to reduce the widely known high false-positive rate associated with misuse-based Intrusion Detection Systems (IDSs). ...
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SDRS: A new lossless dimensionality reduction for text corpora 

Velez de Mendizabal, Iñaki; Ezpeleta, Enaitz; Zurutuza, Urko (Elsevier Ltd., 2020)
In recent years, most content-based spam filters have been implemented using Machine Learning (ML) approaches by means of token-based representations of textual contents. After introducing multiple performance enhancements, ...
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Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery 

Serradilla, Oscar; Zugasti, Ekhi; Cernuda, Carlos; Zurutuza, Urko (IEEE, 2020)
This paper presents the implementation and explanations of a remaining life estimator model based on machine learning, applied to industrial data. Concretely, the model has been applied to a bushings testbed, where fatigue ...
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Zurutuza, Urko (53)
Garitano, Iñaki (18)Iturbe, Mikel (12)Uribeetxeberria, Roberto (10)Zugasti, Ekhi (9)Ezpeleta, Enaitz (8)Velez de Mendizabal, Iñaki (6)Etxezarreta, Xabier (5)Serradilla, Oscar (4)andonegui, imanol (3)... View MoreSubjectsecurity (6)Software defined networking (6)predictive maintenance (5)spam (5)Cyber Physical Systems CPS (4)Industrial control systems (4)anomaly detection (3)Intrusion Detection (3)Machine learning (3)Moving Target Defense (3)... View MoreDate Issued2020 - 2024 (25)2010 - 2019 (26)2007 - 2009 (2)Has File(s)Yes (53)

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