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Aggregating CVSS Base Scores for Semantics-Rich Network Security Metrics



Pengsu Cheng, Lingyu Wang, Sushil Jajodia, Anoop Singhal


A network security metric is desirable in evaluating the effectiveness of security solutions in distributed systems. Aggregating CVSS scores of individual vulnerabilities provides a practical approach to network security metric. However, existing approaches to aggregating CVSS scores usually cause useful semantics of individual scores to be lost in the aggregated result. In this apper, we address this issue through two novel approaches. First, instead of taking each base score as an input, our approach drills down to the underlying base metric level where dependency relationships have well-defined semantics. Second, our approach interprets and aggregates the base metrics from three different aspects in order to preserve corresponding semantics of the individual scores. Finally, we confirm the advantages of our approaches through simulation.
Proceedings Title
IEEE Symposium on Reliable Distributed Systems (SRDS) Conference
Conference Dates
October 8-11, 2012
Conference Location
Irvine, CA, US


CVSS, security metrics, security risk, threats


Cheng, P. , Wang, L. , Jajodia, S. and Singhal, A. (2012), Aggregating CVSS Base Scores for Semantics-Rich Network Security Metrics, IEEE Symposium on Reliable Distributed Systems (SRDS) Conference, Irvine, CA, US, [online],, (Accessed December 1, 2023)
Created October 10, 2012, Updated October 12, 2021