CRDCNov 3, 2019

Calcium Vulnerability Scanner (CVS): A Deeper Look

arXiv:1911.00950v1
Originality Highly original
AI Analysis

This addresses inefficiencies in vulnerability scanning for large-scale networks, containers, edge computing, and cloud computing, representing a significant advancement rather than an incremental improvement.

The paper tackles the problem of time-consuming and network-intensive vulnerability scanning by introducing the Calcium Vulnerability Scanner (CVS), which reduces scanning time by up to 97% and network traffic by 99.9% while improving accuracy by an average of 2600% compared to current technologies.

Traditional vulnerability scanning methods are time-consuming and indecisive, and they negatively affect network performance by generating high network traffic. In this paper, we present a novel vulnerability scanner that is time-efficient, simple, accurate, and safe. We call it a Calcium Vulnerability Scanner (CVS). Our contribution to vulnerability scanning are the following: (i) minimize its required time and network traffic: compared to current technologies, we reduced the former by an average of 79% and the latter by 99.9%, (ii) increase its accuracy: compared to current technologies, we improved this by an average of 2600%, and (iii) enable the scanner to learn from previous scans in order to reduce future scanning time and enhance accuracy: compared to current technologies, CVS reduced scanning time by an average of 97%. CVS enables a new frontier in vulnerability scanning and allow for scalable and efficient deployment of such tools in large-scale networks, containers, edge computing, and cloud computing.

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