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Title:Distributed record and replay blackbox for acute care medical devices
Author(s):Hojjati, Avesta
Advisor(s):Gunter, Carl A
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Distributed Record and Replay
Medical Devices
HealthCare
Security
Privacy
Audit
Abstract: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.
Issue Date:2016-07-20
Type:Thesis
URI:http://hdl.handle.net/2142/92963
Rights Information:2016 Avesta Hojjati
Date Available in IDEALS:2016-11-10
Date Deposited:2016-08


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