@inproceedings{schaberreiter-etal-2024-human,
title = "Human-in-the-loop Anomaly Detection and Contextual Intelligence for Enhancing Cybersecurity Management",
author = "Schaberreiter, Thomas and
Andriessen, Jerry and
Cappiello, Cinzia and
Papanikolaou, Alex and
Pardijs, Mirjam",
editor = "Mitkov, Ruslan and
Ezzini, Saad and
Ranasinghe, Tharindu and
Ezeani, Ignatius and
Khallaf, Nouran and
Acarturk, Cengiz and
Bradbury, Matthew and
El-Haj, Mo and
Rayson, Paul",
booktitle = "Proceedings of the First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security",
month = jul,
year = "2024",
address = "Lancaster, UK",
publisher = "International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security",
url = "https://aclanthology.org/2024.nlpaics-1.15/",
pages = "127--136",
abstract = "Cybersecurity management is a sociotechnical problem comprising organisational knowledge management of humans and technology. Focusing on risk and incident management, we present our approach for enhancing cybersecurity awareness in organisations and ecosystems. By augmenting our cybersecurity awareness platform with human-in-the-loop anomaly detection and machine learning, we are able to handle the dynamics of organisational human activity, as well as the continuous developments in the cybersecurity domain. We illustrate the potential impact of our approach with a realistic example in the healthcare context"
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%0 Conference Proceedings
%T Human-in-the-loop Anomaly Detection and Contextual Intelligence for Enhancing Cybersecurity Management
%A Schaberreiter, Thomas
%A Andriessen, Jerry
%A Cappiello, Cinzia
%A Papanikolaou, Alex
%A Pardijs, Mirjam
%Y Mitkov, Ruslan
%Y Ezzini, Saad
%Y Ranasinghe, Tharindu
%Y Ezeani, Ignatius
%Y Khallaf, Nouran
%Y Acarturk, Cengiz
%Y Bradbury, Matthew
%Y El-Haj, Mo
%Y Rayson, Paul
%S Proceedings of the First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security
%D 2024
%8 July
%I International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security
%C Lancaster, UK
%F schaberreiter-etal-2024-human
%X Cybersecurity management is a sociotechnical problem comprising organisational knowledge management of humans and technology. Focusing on risk and incident management, we present our approach for enhancing cybersecurity awareness in organisations and ecosystems. By augmenting our cybersecurity awareness platform with human-in-the-loop anomaly detection and machine learning, we are able to handle the dynamics of organisational human activity, as well as the continuous developments in the cybersecurity domain. We illustrate the potential impact of our approach with a realistic example in the healthcare context
%U https://aclanthology.org/2024.nlpaics-1.15/
%P 127-136
Markdown (Informal)
[Human-in-the-loop Anomaly Detection and Contextual Intelligence for Enhancing Cybersecurity Management](https://aclanthology.org/2024.nlpaics-1.15/) (Schaberreiter et al., NLPAICS 2024)
ACL