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20212025
most citedA Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection

56 citations · 256 across the 29 of their papers we have counts for

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Showing 2021 · cs.CRShow all

5 papers · 2 filters

cs.CR2021

Anomaly Detection in Cyber-Physical Systems: Reconstruction of a Prediction Error Feature Space

Nuno Oliveira, Norberto Sousa, Jorge Oliveira +1

Cyber-physical systems are infrastructures that use digital information such as network communications and sensor readings to control entities in the physical world. Many cyber-phy…

cs.CR2021

A tool to support the investigation and visualization of cyber and/or physical incidents

Inês Macedo, Sinan Wanous, Nuno Oliveira +2

Investigating efficiently the data collected from a system's activity can help to detect malicious attempts and better understand the context behind past incident occurrences. Nowa…

cs.CR2021★ 2 cited

A Hybrid Approach for an Interpretable and Explainable Intrusion Detection System

Tiago Dias, Nuno Oliveira, Norberto Sousa +2

Cybersecurity has been a concern for quite a while now. In the latest years, cyberattacks have been increasing in size and complexity, fueled by significant advances in technology.…

cs.CR2021★ 56 cited

A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection

João Vitorino, Rui Andrade, Isabel Praça +2

The digital transformation faces tremendous security challenges. In particular, the growing number of cyber-attacks targeting Internet of Things (IoT) systems restates the need for…

cs.CR2021

Machine Learning for Network-based Intrusion Detection Systems: an Analysis of the CIDDS-001 Dataset

José Carneiro, Nuno Oliveira, Norberto Sousa +2

With the increasing amount of reliance on digital data and computer networks by corporations and the public in general, the occurrence of cyber attacks has become a great threat to…