Keynote (APKC)
last update: 29 April, 2022
IIMB-Lite: Lightweight Misbehavior Detection Approach for Insulin Infusion System
Prof. Ilsun You
Kookmin University,
South Korea
Dr. Philip V. Astilo
University of San Carlos,
Philippines
Abstract:
Wireless-networked body sensors, actuators, and related technologies have innovatively grown to prominence in reliably providing essential support for medical care delivery. The goal of these devices or systems is to improve, if not extended, the quality of life of patients, especially those that are under the most challenging illness. Though each patient group requires unique support, our current work only focuses on medical systems intended for subcultural group of patients suffering from Type 1 Diabetes Mellitus. Nevertheless, our proposed approach introduced in this study is employable to medical systems for another patient group.
Insulin infusion system (IIS), also known as artificial pancreas system, has shown effectiveness in glucose control, maintaining blood glucose level of patients in the normal range. However, as more advanced features (e.g., wireless interaction) are innovatively integrated in this system, safety concerns have extended to cybersecurity threats rather than just faulty system functionality [1]. Even more scary, ethical hackers in [2] and [3] proved in laboratory setting the security breaches of some commercially available devices, gaining full control over the medical system. Thus, it is of paramount importance to establish mitigation strategies against security issues, while considering the resource-limited nature of the integrated medical components.
Intrusion detection system (IDS), along with other techniques, has showed to be an effective security solution in various fields. Among the representative approaches, namely signature-based, anomaly-based, and specification-based method, the last method is considered as the most suitable technique to this resource-constrained environment. In this talk, we will introduce the adopted framework for strategic formulation of specification-based rules that are particular to IIS, highlight the feasibility of our proposed IDS method, and its edge over the contemporary machine learning-based IDS according to our experimental results.
Speaker’s Bio:
Dr. Ilsun You received the MS and PhD degrees in computer science from Dankook University, Seoul, Korea, in 1997 and 2002, respectively. He received the second PhD degree from Kyushu University, Japan, in 2012. Now, he is a full professor at Department of Information Security, Cryptology, and Mathematics, Kookmin University. He has served or is currently serving as a Steering Chair, General Chair or a Program Chair of international conferences and symposiums such as MobiSec’16-21, WISA’19-20, ProvSec’18, ACM MIST’15-17 and so forth. Dr. You is the EiC of Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA) and Journal of Internet Services and Information Security (JISIS) while serving as an associate EiC of Intelligent Automation & Soft Computing (IASC). He is in the Editorial Board for Information Sciences, International Journal of Intelligent Systems, IEEE Access, International Journal of Ad Hoc and Ubiquitous Computing, Computing and Informatics, and Journal of High-Speed Networks. Especially, he has focused on 5/6G security, security for wireless networks & mobile internet, IoT/CPS security and so forth while publishing more than 180 papers in these areas. He is a Fellow of the IET and a Senior member of the IEEE.
Dr. Philip Virgil Astillo received the B.S. and M.Eng. degree in computer engineering from the University of San Carlos, Cebu, Philippines, in 2009 and 2011, respectively. He received his Ph.D. degree from the Department of Information Security Engineering, Soonchunhyang University, South Korea, in 2021. He is currently working at the Department of Computer Engineering, University of San Carlos, Philippines as an instructor and researcher. From 2009 to 2015, He worked as a lecturer in the same university. Simultaneously, from 2014 to 2015, he was a Research Assistant with the Phil-LiDAR Program in the same university. From 2015 to 2016, he was a Research Assistant with Sensor Laboratory of Clemson University, South Carolina, USA. His research interests include embedded system design and development, mobile Internet security, 5G security, IoT application and security, artificial intelligence, and intrusion detection system.