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Using Activity-Related Behavioural Features towards More Effective Automatic Stress Detection
This paper introduces activity-related behavioural features that can be automatically extracted from a computer system, with the aim to increase the effectiveness of automatic stress detection. TheExpand
Intrusion Detection System Based on Network Traffic Using Deep Neural Networks
A real-time intrusion detection system for SME’s that can detect DDoS and malware cyber-threats using deep learning. Expand
Security for Internet of Things: The SerIoT Project
This paper describes a new research project on “Secure and Safe Internet of Things” (SerIoT) to improve both the information and physical security of IoT applications platforms in a holistic and cross-layered manner. Expand
Spatiotemporal analysis of human activities for biometric authentication
This paper presents a novel framework for unobtrusive biometric authentication based on the spatiotemporal analysis of human activities. Expand
An Interactive Visual Analytics Platform for Smart Intelligent Transportation Systems Management
The reduction of road congestion requires intuitive urban congestion-control platforms that can facilitate transport stakeholders in decision making. Expand
Multi-Objective Optimization for Multimodal Visualization
A novel approach for exploiting the multiple available modalities for multimodal visualization is proposed, motivated by the field of multi-objective optimization. Expand
A graph neural network method for distributed anomaly detection in IoT
We propose, a multi-agent system, with each agent implementing a Graph Neural Network, in order to exploit the collaborative and cooperative nature of intelligent agents for anomaly detection. Expand
A Novel Graph-Based Descriptor for the Detection of Billing-Related Anomalies in Cellular Mobile Networks
We propose a novel graph-based descriptor for the detection of anomalies in mobile networks, using billing-related information. Expand
An enhanced Graph Analytics Platform (GAP) providing insight in Big Network Data
This paper presents a Graph Analytics based Platform (GAP) that implements a top-down approach for the facilitation of Data Mining processes through the incorporation of state-of-the-art techniques, like behavioural clustering, interactive visualizations, multi-objective optimization, and dynamic hypothesis formulation that enables the analyst to set concrete network-related hypotheses, and validate or reject them accordingly. Expand
Research and Innovation Action for the Security of the Internet of Things: The SerIoT Project
The Internet of Things (IoT) was born in the mid 2010’s, when the threshold of connecting more objects than people to the Internet, was crossed. Expand