The severity and effects of Cyber-breaches in SMEs: a machine learning approach
The severity and effects of Cyber-breaches in SMEs: a machine learning approach
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中小企业网络违规的严重性和影响：机器学习方法
DOI：
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发表时间：
2021
影响因子：
4.4
通讯作者：
J. C. F. D. Arroyabe
中科院分区：
文献类型：
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作者：
Ignacio Fernandez De Arroyabe;J. C. F. D. Arroyabe
考虑到网络安全在中小企业中扮演的角色，以及中小企业在经济中的重要性，本文研究了网络入侵及其对中小企业(SME)的影响。利用网络安全漏洞调查数据，第一个贡献扩展了之前的工作，证实中小企业收到了各种各样的漏洞。其次，我们根据中断时间及其成本表征了中小企业违规的严重程度。我们的最后一项贡献是确定中小企业违规行为的影响和严重程度，包括经济、财务和管理影响。
ABSTRACT In this paper, we investigate cyber breaches and their effects on small and medium enterprises (SMEs), considering the role that cybersecurity plays in SMEs, and the importance that SMEs have in the economy. Using the Cyber Security Breaches Survey data, the first contribution extends previous works confirming that SMEs receive a wide variety of breaches. Secondly, we have characterized the degree of severity of breaches in SMEs, based on disruption time and their cost. Our last contribution consists of determining the effect and severity of breaches in SMEs in terms of economic, financial and management impacts.
影响因子：
5.6
作者：
Heartfield, Ryan;Loukas, George;Roesch, Etienne
通讯作者：
Roesch, Etienne