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The management of security events, from the analysis of attacks and risk to the selection of appropriate countermeasures, has become a major concern for security analysts and IT administrators. Furthermore, network and system devices are designed to be heterogeneous, with different characteristics and functionalities that increase the difficulty of these tasks. This paper introduces an ontology-driven approach to address the aforementioned problems. The proposed model takes into account the two main aspects of this field, the information that is manipulated by SIEM environments and the operations that are applied to this information, in order to reach the desired goals. We present a case study on Botnets to illustrate the utilization of our model.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |