Abstract
The Internet has become the most vulnerable part of critical civil infrastructures. Proactive measures such as early warnings are required to reduce the risk of disasters that can be created using it. With the continuous growth in scale, complexity and variety of networked systems the quality of data is continuously decreasing. This paper investigates the ability to employ Bayesian inference for network scenario analysis with low quality data to produce early warnings. Theoretical account of the approach and experimental results using a real world attack scenario and a real network traffic capture is presented.
Original language | English |
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Title of host publication | 2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 399-404 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-4673-9300-3 |
DOIs | |
Publication status | Published - 07 Jan 2016 |
Externally published | Yes |
Event | 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - New York, United States Duration: 03 Nov 2015 → 05 Nov 2015 |
Conference
Conference | 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 |
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Country/Territory | United States |
City | New York |
Period | 03/11/2015 → 05/11/2015 |
Keywords
- Bayesian inference
- Early warning systems
- Low quality data analysis
- Network security
ASJC Scopus subject areas
- Computer Networks and Communications
- Safety, Risk, Reliability and Quality