| Autor: |
Carbonell, Jaime G., Siekmann, Jörg, Yuping Wang, Yiu-ming Cheung, Hailin Liu, Haslum, Kjetil, Årnes, Andr |
| Zdroj: |
Computational Intelligence & Security (9783540743767); 2007, p694-703, 10p |
| Abstrakt: |
The use of tools for monitoring the security state of assets in a network is an essential part of network management. Traditional risk assessment methodologies provide a framework for manually determining the risks of assets, and intrusion detection systems can provide alerts regarding security incidents, but these approaches do not provide a real-time high level overview of the risk level of assets. In this paper we further extend a previously proposed real-time risk assessment method to facilitate more flexible modeling with support for a wide range of sensors. Specifically, the paper develops a method for handling continuous-time sensor data and for determining a weighted aggregate of multisensor input. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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