A Recent Assessment for the Ransomware Attacks Against the Internet of Medical Things (IoMT): A Review

Tamara Nusairat, M. Saudi, Azuan Ahmad
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引用次数: 2

Abstract

The magnitude, complexity, and diversity of cyber threats against the Internet of Medical Things have increased over the past several years, making it challenging to implement effective defence strategies against these cyber-attacks, especially against ransomware. Balancing security requirements and rapid innovation and adoption with the Internet of Medical Things is challenging in healthcare industries. Hence, this article presents the identified features in ransomware architecture that triggered the ransomware attacks against the Internet of Medical Things. The experiment was conducted in a controlled lab environment, with open-source tools and by using hybrid analysis. As a result, thirteen (13) related features that include initial access, persistence, execution, defence evasion, credential access, discovery, impact, command and control, privilege escalation, lateral movement, collection, network communication and MD5 have been identified by analyzing vulnerabilities, potential attack routes, and the effects of a successful security breach against the IoMT. In the future, this work can be used as a reference and guidance for other researchers with the same interest.
针对医疗物联网(IoMT)勒索软件攻击的最新评估:综述
在过去几年中,针对医疗物联网的网络威胁的规模、复杂性和多样性都有所增加,这使得针对这些网络攻击(特别是针对勒索软件)实施有效防御策略变得具有挑战性。在医疗保健行业中,平衡安全需求与医疗物联网的快速创新和采用是一项挑战。因此,本文介绍了勒索软件架构中触发针对医疗物联网的勒索软件攻击的识别特征。实验在受控的实验室环境中进行,使用开源工具并使用混合分析。因此,通过分析漏洞、潜在攻击路线和成功攻破IoMT的安全漏洞的影响,确定了13个相关特征,包括初始访问、持久性、执行、防御逃避、凭证访问、发现、影响、命令和控制、特权升级、横向移动、收集、网络通信和MD5。在未来,本工作可以作为其他有相同兴趣的研究人员的参考和指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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