Distributed record and replay blackbox for acute care medical devices

Medical devices have been used in HealthCare for years. Such devices transform the way clinical operations are being performed, rendering care both more efficient and more effective. Equipped with advanced sensors and precision electronics, they can collect physiological measurements of patients in real-time and administer drugs or act on the human body in response. For example, a blood pressure cuff can control the rate by which infusion pumps can deliver pulses of the infused material at precision levels in the order of milliliters or even nanoliters. We have discovered multiple issues with infusion pumps where an adversary is able to attack and modify the nature of the device. Further, we discovered that some devices such as patient monitor and infusion pump are directly interacting, and often the output of one device is the input for the other device. In this case, if the patient monitor has been compromised and sends faulty outputs to the infusion pump, the end result will cause the patient to lose his/her life due to having a bad source of input. This scenario demonstrates that how networked devices in an emergency room can generate a collection of faulty systems. Thus, they will cause damage (1) to other devices in the room and (2) they will put the patient life at risk. To help with this problem, we are proposing a Distributed Record and Replay system formally known as DRnR. The purposed system will facilitate with identifying the compromised and or faulty medical device in an Emergency Room setting. The technology is target to solve two sets or problems (1) identifying the exact stage and cause of the device misbehavior (2) educating the medical staff with replaying a specific scenario.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2016

Author dc:creator

• Hojjati, Avesta

Contributors dc:contributor

• Gunter, Carl A.

• Distributed Record and Replay
• Medical Devices
• HealthCare
• Security
• Privacy
• Audit

Statement dc:rights

• 2016 Avesta Hojjati

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/92963

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/92963