Zerrendatu Artikuluak-Ingeniaritza honen arabera: egilea "a0e0c864f710057ff478bee93b061c01"
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Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data
Serradilla, Oscar; Zugasti, Ekhi; Zurutuza, Urko (MDPI, 2021)Predictive maintenance (PdM) has the potential to reduce industrial costs by anticipating failures and extending the work life of components. Nowadays, factories are monitoring their assets and most collected data belong ... -
A Big Data implementation of the MANTIS Reference Architecture for Predictive Maintenance
Larrinaga, Felix; Zugasti, Ekhi; Garitano, Iñaki; Zurutuza, Urko (Sage Journals, 2019) -
Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks
Zurutuza, Urko (Elsevier, 2023)There is a growing trend of cyberattacks against Internet of Things (IoT) devices; moreover, the sophistication and motivation of those attacks is increasing. The vast scale of IoT, diverse hardware and software, and being ... -
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects
Serradilla, Oscar; Zugasti, Ekhi; Zurutuza, Urko (Springer Science+Business Media, LLC, 2022)Given the growing amount of industrial data in the 4th industrial revolution, deep learning solutions have become popular for predictive maintenance (PdM) tasks, which involve monitoring assets to anticipate their requirements ... -
Deep packet inspection for intelligent intrusion detection in software-defined industrial networks: A proof of concept
Sainz Oruna, Markel; Garitano, Iñaki; Iturbe, Mikel; Zurutuza, Urko (Oxford Academic, 2020)Specifically tailored industrial control systems (ICSs) attacks are becoming increasingly sophisticated, accentuating the need of ICS cyber security. The nature of these systems makes traditional IT security measures not ... -
Deobfuscating leetspeak with deep learning to improve spam filtering
Velez de Mendizabal, Iñaki; Vidriales Mazorriaga, Xabier; Ezpeleta, Iñigo; Zurutuza, Urko (UNIR - Universidad Internacional de La Rioja, 2023)The evolution of anti-spam filters has forced spammers to make greater efforts to bypass filters in order to distribute content over networks. The distribution of content encoded in images or the use of Leetspeak are ... -
Detection and Visualization of Android Malware Behavior
Zurutuza, Urko; Uribeetxeberria, Roberto (Hindawi Publishing Corporation, 2016)Malware analysts still need to manually inspect malware samples that are considered suspicious by heuristic rules. They dissect software pieces and look for malware evidence in the code. The increasing number of malicious ... -
Different approaches for the detection of SSH anomalous connections
Zurutuza, Urko (Oxford Academic, 2016)The Secure Shell Protocol (SSH) is a well-known standard protocol, mainly used for remotely accessing shell accounts on Unix-like operating systems to perform administrative tasks. As a result, the SSH service has been an ... -
Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation
Sáez-de-Cámara, Xabier; Zurutuza, Urko (IEEE, 2023)The growing adoption of the Internet of Things (IoT) has brought a significant increase in attacks targeting those devices. Machine learning (ML) methods have shown promising results for intrusion detection; however, the ... -
Low delay network attributes randomization to proactively mitigate reconnaissance attacks in industrial control systems
Etxezarreta, Xabier; Garitano, Iñaki; Iturbe, Mikel; Zurutuza, Urko (Springer, 2023)Industrial Control Systems are used in a wide variety of industrial facilities, including critical infrastructures, becoming the main target of multiple security attacks. A malicious and successful attack against these ... -
A methodology and experimental implementation for industrial robot health assessment via torque signature analysis
Izagirre, Unai; andonegui, imanol; Egea, Aritz; Zurutuza, Urko (MDPI AG, 2020)This manuscript focuses on methodological and technological advances in the field of health assessment and predictive maintenance for industrial robots. We propose a non-intrusive methodology for industrial robot joint ... -
Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge
Serradilla, Oscar; Zugasti, Ekhi; Zurutuza, Urko (Taylor and Francis, 2022)The 4th industrial revolution has connected machines and industrial plants, facilitating process monitoring and the implementation of predictive maintenance (PdM) systems that can save up to 60% of maintenance costs. ... -
Multi-objective evolutionary optimization for dimensionality reduction of texts represented by synsets
Velez de Mendizabal, Iñaki; Ezpeleta, Enaitz; Zurutuza, Urko (PeerJ, 2023)Despite new developments in machine learning classification techniques, improving the accuracy of spam filtering is a difficult task due to linguistic phenomena that limit its effectiveness. In particular, we highlight ... -
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). ... -
Novel email spam detection method using sentiment analysis and personality recognition
Velez de Mendizabal, Iñaki; Zurutuza, Urko; Ezpeleta, Enaitz (Oxford Academic, 2020)Unsolicited email campaigns remain as one of the biggest threats affecting millions of users per day. During the past years several techniques to detect unsolicited emails have been developed. This work provides means to ... -
On the use of MiniCPS for conducting rigorous security experiments in Software-Defined Industrial Control Systems
Etxezarreta, Xabier; Garitano, Iñaki; Iturbe, Mikel; Zurutuza, Urko (Springer, 2024)Software-Defined Networking (SDN) offers a global view over the network and the ability of centrally and dynamically managing network flows, making them ideal for creating security threat detection and mitigation solutions. ... -
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 ... -
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, ... -
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 ... -
Software-Defined Networking approaches for intrusion response in Industrial Control Systems: A survey
Etxezarreta, Xabier; Garitano, Iñaki; Iturbe, Mikel; Zurutuza, Urko (Elsevier, 2023)Industrial Control Systems (ICSs) are a key technology for life-sustainability, social development and economic progress used in a wide range of industrial solutions, including Critical Infrastructures (CIs), becoming the ...