An Attack Graph-based On-line Multi-step Attack Detector-Reference-Cited by-同舟云学术

An Attack Graph-based On-line Multi-step Attack Detector

Published:2018-01-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 19th International Conference on Distributed Computing and Networking
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Author:

Angelini Marco¹,Bonomi Silvia¹,Borzi Emanuele¹,Pozzo Antonella Del¹,Lenti Simone¹,Santucci Giuseppe¹

Affiliation:

1. University of Rome "La Sapienza", Rome, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3154273.3154311

Reference32 articles.

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2. {n. d.}. The Esper project. http://esper.codehaus.org/. ({n. d.}). {n. d.}. The Esper project. http://esper.codehaus.org/. ({n. d.}).

3. {n. d.}. The PANOPTESEC Project. http://www.panoptesec.eu. ({n. d.}). {n. d.}. The PANOPTESEC Project. http://www.panoptesec.eu. ({n. d.}).

4. Ahmed Aleroud and George Karabatis. 2017. Contextual information fusion for intrusion detection: a survey and taxonomy. Knowledge and Information Systems (2017) 1--57. 10.1007/s10115-017-1027-3 Ahmed Aleroud and George Karabatis. 2017. Contextual information fusion for intrusion detection: a survey and taxonomy. Knowledge and Information Systems (2017) 1--57. 10.1007/s10115-017-1027-3

5. PERCIVAL: proactive and reactive attack and response assessment for cyber incidents using visual analytics

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