Patient Infusion Pattern based Access Control Schemes for Wireless Insulin Pump System
- 12 November 2014
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Parallel and Distributed Systems
- Vol. 26 (11), 3108-3121
- https://doi.org/10.1109/tpds.2014.2370045
Abstract
Wireless insulin pumps have been widely deployed in hospitals and home healthcare systems. Most of them have limited security mechanisms embedded to protect them from malicious attacks. In this paper, two attacks against insulin pump systems via wireless links are investigated: a single acute overdose with a significant amount of medication and a chronic overdose with a small amount of extra medication over a long time period. They can be launched unobtrusively and may jeopardize patients' lives. It is very urgent to protect patients from these attacks. We propose a novel personalized patient infusion pattern based access control scheme (PIPAC) for wireless insulin pumps. This scheme employs supervised learning approaches to learn normal patient infusion patterns in terms of the dosage amount, rate, and time of infusion, which are automatically recorded in insulin pump logs. The generated regression models are used to dynamically configure a safe infusion range for abnormal infusion identification. This model includes two sub models for bolus (one type of insulin) abnormal dosage detection and basal abnormal rate detection. The proposed algorithms are evaluated with real insulin pump. The evaluation results demonstrate that our scheme is able to detect the two attacks with a very high success rate.Keywords
Funding Information
- US NSF (CNS-0963578, CNS-1022552, CNS-1065444, IIS-1231680, CNS-1239108, CNS-1035715)
This publication has 16 references indexed in Scilit:
- Block cipher based security for severely resource-constrained implantable medical devicesPublished by Association for Computing Machinery (ACM) ,2011
- Safety-assured development of the GPCA infusion pump softwarePublished by Association for Computing Machinery (ACM) ,2011
- They can hear your heartbeatsPublished by Association for Computing Machinery (ACM) ,2011
- Biometric-based two-level secure access control for Implantable Medical Devices during emergenciesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- A lightweight security protocol for ultra-low power ASIC implementation for wireless Implantable Medical DevicesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Defending Resource Depletion Attacks on Implantable Medical DevicesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- A context-management framework for telemedicinePublished by Association for Computing Machinery (ACM) ,2010
- A Hazard Analysis for a Generic Insulin Infusion PumpJournal of Diabetes Science and Technology, 2010
- Proximity-based access control for implantable medical devicesPublished by Association for Computing Machinery (ACM) ,2009
- Incorporating a Generic Model of Subcutaneous Insulin Absorption into the AIDA v4 Diabetes Simulator: 2. Preliminary Bench TestingJournal of Diabetes Science and Technology, 2007