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Assessing Vulnerabilities in Bluetooth Low Energy (BLE) Wireless Network Based IoT Systems

Authors: Yanzhen Qu; Philip Chan;

Assessing Vulnerabilities in Bluetooth Low Energy (BLE) Wireless Network Based IoT Systems

Abstract

With the materialization of the internet of things (IoT), big data analytic and cloud computing services give rise to extra breadth in the assessment of more secure computing environments, better resource management and vulnerability analysis. In order to accurately assess the vulnerability of Bluetooth low energy (BLE) wireless network enabled IoT systems, we have proposed a novel approach to extend the calculation formula for Authentication which is one of variables used in the conventional base score equations of the Common Vulnerability Scoring System (CVSS) v2 proposed by the National Infrastructure Advisory Council. Through an example BLE wireless network based shopping cart IoT system we have demonstrated the weakness of the current CVSS v2 base score equations and how to overcome the weakness through our extension.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
20
Top 10%
Top 10%
Top 10%
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