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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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A Lightweight Botnet Exploiting HTTP for Control Flow Denial on Open-Source Medical Systems.

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This study introduces a lightweight, encrypted botnet for open-source medical systems. It demonstrates a proof-of-concept attack on IoT medical devices, highlighting cybersecurity risks and aiding intrusion detection research.

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Area of Science:

  • Biomedical Engineering
  • Computer Science
  • Cybersecurity

Background:

  • Open-source medical cyber-physical systems (MCPS) are transforming healthcare, driven by 3D printing and microcomputers like Arduino and Raspberry Pi.
  • The integration of MCPS, IoT, and mobile devices introduces significant cybersecurity vulnerabilities.
  • Existing botnets present challenges for effective exploitation and resource management in healthcare settings.

Purpose of the Study:

  • To propose a novel, lightweight, and fully encrypted cross-platform botnet system.
  • To demonstrate the feasibility of a botnet attack targeting critical medical devices, specifically a syringe pump.
  • To advance cybersecurity research in intrusion detection for open-source medical systems.

Main Methods:

  • Development of a lightweight, encrypted, cross-platform botnet.
  • Implementation of a proof-of-concept attack within an Internet of Things (IoT) medical network testbed.
  • Focus on minimal deployment time and resource utilization for the botnet.

Main Results:

  • Successful demonstration of a botnet attack capable of blocking control flow from a syringe pump.
  • Validation of the lightweight botnet's effectiveness with limited resources.
  • Highlighting the potential for botnet exploitation in IoT medical environments.

Conclusions:

  • The proposed lightweight botnet offers a new approach to cybersecurity research in open-source medical systems.
  • Effective intrusion detection mechanisms are crucial for securing connected medical devices.
  • Further research is needed to develop robust defenses against sophisticated botnet attacks in healthcare IoT networks.