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Vulnerability Dependencies in Antivirus Software

Authors: Kreetta Askola; Rauli Puuperä; Pekka Pietikäinen; Juhani Eronen; Marko Laakso; Kimmo Halunen; Juha Röning;

Vulnerability Dependencies in Antivirus Software

Abstract

In this paper we present an application of the MATINE method for investigating dependencies in antivirus (AV) software and some vulnerabilities arising from these dependencies. Previously, this method has been effectively used to find vulnerabilities in network protocols. Because AV software is as vulnerable as any other software and has a great security impact, we decided to use this method to find vulnerabilities in AV software. These findings may have implications to critical infrastructure, for the use of AV is often considered obligatory. The results were obtained by gathering semantic data on AV vulnerabilities, analyisis of the data and content analysis of media follow-up. The results indicate, that different aspects of AV software should be observed in the context of critical infrastructure planning and management.

Country
Finland
Related Organizations
Keywords

Vulnerability dependencies, and Infrastructure, Antivirus vulnerabilities, Innovation, Dependency tracking, SDG 9 - Industry

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
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