Research Output per year
Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 3 Similar Profiles
Intrusion detection
Engineering & Materials Science
Taxonomies
Engineering & Materials Science
Learning systems
Engineering & Materials Science
Data acquisition
Engineering & Materials Science
Engines
Engineering & Materials Science
SCADA systems
Engineering & Materials Science
Water
Engineering & Materials Science
Water pipelines
Engineering & Materials Science
Network
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Research Output 2018 2019
- 2 Conference contribution
Improving SIEM for critical SCADA water infrastructures using machine learning
Hindy, H., Brosset, D., Bayne, E., Seeam, A. & Bellekens, X., 31 Jan 2019, Computer security: ESORICS 2018 International Workshops, CyberICPS 2018 and SECPRE 2018, Barcelona, Spain, September 6–7, 2018, revised selected papers. Katsikas, S. K., Cuppens, F., Cuppens, N., Lambrinoudakis, C., Antón, A., Gritzalis, S., Mylopoulos, J. & Kalloniatis, C. (eds.). Springer, p. 3-19 17 p. (Lecture Notes in Computer Science; vol. 11387).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
File
Learning systems
Data acquisition
SCADA systems
Water
Water pipelines
A taxonomy of malicious traffic for intrusion detection systems
Hindy, H., Hodo, E., Bayne, E., Seeam, A., Atkinson, R. & Bellekens, X., 29 Nov 2018, 2018 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA). IEEE , 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
File
Intrusion detection
Taxonomies