journal article·2019Open access

ICVSS: A New Method for Vulnerability Quantitative Grading

Tiantian Tan, Baosheng Wang, Yong Tang, Xu Zhou, Jingwen Han

Computers, Materials & Continua· Volume 61· Issue 2

Abstract

Vulnerability technology is the basic of network security technology, vulnerability quantitative grading methods, such as CVSS, WIVSS, ICVSS, provide a reference to vulnerability management, but the problems of ignoring the risk elevation caused by a group of vulnerabilities and low accuracy of exploitable level evaluation exist in current vulnerability quantitative grading methods. To solve problems above in current network security quantitative evaluation methods, this paper verified the high relevance degree between type and exploitable score of vulnerability, proposed a new vulnerability quantitative grading method ICVSS, ICVSS can explore attack path using continuity level defined by privilege, add vulnerability type to measure indexes of exploitable metrics and use Analytic Hierarchy Process (AHP) to quantify the influence of vulnerability type on exploitable level. Compared with CVSS and WIVSS, ICVSS is proved that it can discover attack path consist of a sequence of vulnerabilities for network security situation evaluation, and has more accuracy and stability.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Fault Detection and Control Systems · Anomaly Detection Techniques and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References

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