{"title":"A Lightweight Botnet Exploiting HTTP for Control Flow Denial on Open-Source Medical Systems.","authors":"Wei Lu","doi":"10.1007/978-3-031-35734-3_19","DOIUrl":null,"url":null,"abstract":"<p><p>The recent emergence of open-source medical cyber-physical systems has rapidly transformed the healthcare industry. This can be attributed to advancements in 3D printing technology and the growing popularity of open-source microcomputer systems like Arduino and Raspberry Pi. However, the increased use of these systems in hospitals has also raised cybersecurity concerns. In particular, new technologies, such as IoT devices and other mobile devices, have posed new challenges in exploiting modern botnets and determining their effectiveness with limited resources. In this paper, we propose a lightweight and full-encrypted cross-platform botnet system that provides a proof-of-concept demonstration of how a botnet attack can block control flow from the syringe pump in a testbed of an IoT medical network. The emphasis is placed on minimal deployment time and resource usage, making this lightweight botnet different from most traditional botnets, thus furthering cybersecurity research in intrusion detection for open-source medical systems.</p>","PeriodicalId":72025,"journal":{"name":"... International Conference on Complex, Intelligent and Software Intensive Systems","volume":"176 ","pages":"188-199"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10466207/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"... International Conference on Complex, Intelligent and Software Intensive Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-031-35734-3_19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/6/19 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The recent emergence of open-source medical cyber-physical systems has rapidly transformed the healthcare industry. This can be attributed to advancements in 3D printing technology and the growing popularity of open-source microcomputer systems like Arduino and Raspberry Pi. However, the increased use of these systems in hospitals has also raised cybersecurity concerns. In particular, new technologies, such as IoT devices and other mobile devices, have posed new challenges in exploiting modern botnets and determining their effectiveness with limited resources. In this paper, we propose a lightweight and full-encrypted cross-platform botnet system that provides a proof-of-concept demonstration of how a botnet attack can block control flow from the syringe pump in a testbed of an IoT medical network. The emphasis is placed on minimal deployment time and resource usage, making this lightweight botnet different from most traditional botnets, thus furthering cybersecurity research in intrusion detection for open-source medical systems.
最近,开源医疗网络物理系统的出现迅速改变了医疗保健行业。这要归功于 3D 打印技术的进步以及 Arduino 和 Raspberry Pi 等开源微机系统的日益普及。然而,这些系统在医院中使用的增加也引发了网络安全问题。特别是,物联网设备和其他移动设备等新技术在利用现代僵尸网络和确定其在有限资源下的有效性方面提出了新的挑战。在本文中,我们提出了一个轻量级、全加密的跨平台僵尸网络系统,该系统提供了一个概念验证,演示了僵尸网络攻击如何在物联网医疗网络的测试平台上阻断来自注射泵的控制流。该系统强调最少的部署时间和资源使用,使这个轻量级僵尸网络有别于大多数传统僵尸网络,从而推动了开源医疗系统入侵检测方面的网络安全研究。