Abstract
This paper aims to enhance the security and resilience of Critical Information Infrastructures (CIIs) by providing a dynamic collaborative, warning and response system (CyberSANE system) supporting and guiding security officers and operators (e.g. Incident Response professionals) to recognize, identify, dynamically analyse, forecast, treat and respond to their threats and risks and handle their daily cyber incidents. The proposed solution provides a first of a kind approach for handling cyber security incidents in the digital environments with highly interconnected, complex and diverse nature.
Original language | English |
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Title of host publication | Engineering Applications of Neural Networks - 20th International Conference, EANN 2019, Proceedings |
Editors | Ilias Maglogiannis, Chrisina Jayne, John Macintyre, Lazaros Iliadis |
Place of Publication | Cham |
Publisher | Springer-Verlag |
Pages | 476-487 |
Number of pages | 12 |
Volume | 1000 |
ISBN (Electronic) | 9783030202576 |
ISBN (Print) | 9783030202569 |
DOIs | |
Publication status | Published - 15 May 2019 |
Event | 20th International Conference on Engineering Applications of Neural Networks, EANN 2019 - Hersonissos, Greece Duration: 24 May 2019 → 26 May 2019 |
Publication series
Name | Communications in Computer and Information Science |
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ISSN (Print) | 1865-0929 |
ISSN (Electronic) | 1865-0937 |
Conference
Conference | 20th International Conference on Engineering Applications of Neural Networks, EANN 2019 |
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Country/Territory | Greece |
City | Hersonissos |
Period | 24/05/19 → 26/05/19 |
Bibliographical note
The final authenticated version isavailable online at https://doi.org/10.1007/978-3-030-20257-6_41
Keywords
- Data fusion and risk assessment
- Incident handling
- Web mining