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Now showing items 21-30 of 60
Estudio de modelado de perifericos para habilitar emulaciones de firmware embebido
(Tecnalia. Incibe, 2022)
Los sistemas embebidos aumentan cada vez más en número y con ello también lo hacen los ataques dirigidos a estos. Uno de los factores clave para reducir la superficie de ataque es descubrir y corregir vulnerabilidades en ...
On the use of MiniCPS for conducting rigorous security experiments in Software-Defined Industrial Control Systems
(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. ...
Software Defined Networking Opportunities for Intelligent Security Enhancement of Industrial Control Systems
(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 ...
Low delay network attributes randomization to proactively mitigate reconnaissance attacks in industrial control systems
(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 ...
Latentziarik gabeko sareko identifikatzaileen aleatorizazioa kontrol industrialerako sistemetan proaktiboki errekonozimendu erasoak mitigatzeko
(UEU, 2023)
Kontrol industrialerako sistemak askotariko instalazio industrialetan erabiltzen dira, azpiegitura kritikoetan barne, segurtasun-eraso anitzen helburu nagusi bihurtuz. Sare industrialen konfigurazio eta topologia estatikoek, ...
Null is Not Always Empty: Monitoring the Null Space for Field-Level Anomaly Detection in Industrial IoT Environments
(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 ...
Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks
(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 ...
Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation
(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 ...
Federated Explainability for Network Anomaly Characterization
(ACM, 2023)
Machine learning (ML) based systems have shown promising results for intrusion detection due to their ability to learn complex patterns. In particular, unsupervised anomaly detection approaches offer practical advantages ...
Practical approaches towards IoT dataset generation for security experiments
(Elsevier, 2025)
The cybersecurity field has been steadily adopting rapid advances in artificial intelligence (AI) and machine learning (ML) techniques for various purposes, such as threat detection and response, with promising results. ...
