Now showing items 1-10 of 10
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 ...
Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance
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 ...
Towards Large-Scale, Heterogeneous Anomaly Detection Systems in Industrial Networks: A Survey of Current Trends
(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 ...
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 ...
Null is Not Always Empty: Monitoring the Null Space for Field-Level Anomaly Detection in Industrial IoT Environments
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 ...
A Mood Analysis on Youtube Comments and a Method for Improved Social Spam Detection
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 ...
From KPI Dashboards to Advanced Visualization
(River Publishers, 2019)
On the Feasibility of Distinguishing Between Process Disturbances and Intrusions in Process Control Systems using Multivariate Statistical Process Control
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 ...
Short Messages Spam Filtering Combining Personality Recognition and Sentiment Analysis
(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 ...