一种新的网络风险:WFH时代的青少年如何暴露企业

Zahm Siyed
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引用次数: 0

摘要

我们分析了与青少年在线活动相关的风险,以及网络威胁从青少年转移到父母在家工作(WFH)设备的潜在迁移,即使采用了VPN等防御措施。此外,我们还研究了这些风险对企业安全的严重影响。尤其令人担忧的是,那些处理公司机密信息(如财务预测或产品路线图)的父母可能会发现,他们的孩子成为黑客的目标,这些黑客寻求更容易进入家庭网络,最终进入无线宽带设备。由于白领职业中混合工作的趋势正在上升,将传统的办公室工作与WFH混合在一起,因此本文的研究恰逢其时。后者越来越多地分班工作,包括早餐前或晚餐后的工作。虽然这种转变提供了许多劳动力优势,并有助于青少年与父母建立联系,但它也带来了大量的网络安全风险,尤其是当这些设备和网络在家庭网络上与青少年共享时。我们对62名青少年进行了结构化调查,结果证实,危险的在线活动比比皆是,因此,风险转移到公司网络的威胁不容忽视。我们进行迁移风险评估,并确定哪些青少年起源的风险最有可能污染父母的WFH设备。我们评估了20个攻击向量并生成了60个风险评级。我们将29个分类为高风险,8个为中等风险,13个为低风险,10个为不相关。我们提出了一些建议,以减轻这一新的网络风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Cyber Risk: How Teens Expose Corporations in WFH Era
We analyze the risks associated with teenagers’ online activities and the potential migration of cyber threats originating from teenagers to their parents’ work-from-home (WFH) devices, even when defensive measures such as VPN are employed. Furthermore, we examine the serious implications these risks have on corporate security. Of particular concern, parents who work with confidential corporate information, such as financial projections or product roadmaps, might find that their kids are targeted by hackers who seek an easier entry-point to home networks and eventually WFH devices. This paper is timely since there is a rising trend of hybrid work in white-collar professions, mixing traditional in-office work with WFH. The latter is increasingly done in split shifts, including work performed before breakfast or after dinner. While this shift offers numerous workforce advantages and helps teen-parent bonding, it also introduces a plethora of cybersecurity risks, especially when these devices and networks are shared with teenagers on home networks. We did a structured survey of 62 teens which confirms that risky online activity abounds, so the threat of risk migration onto corporate networks should not be ignored. We perform a migration risk assessment and identify which teen-origin risks are most likely to contaminate parents’ WFH devices. We evaluate 20 attack vectors and generate 60 risk ratings. We classify 29 as high risk, 8 as medium risk, 13 as low risk, and 10 as not relevant. We offer recommendations to mitigate this new set of cyber risks.
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