Adversarial attacks to machine learning-based smart healthcare systems

AKMI Newaz, NI Haque, AK Sikder… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
The increasing availability of healthcare data requires accurate analysis of disease
diagnosis, progression, and real-time monitoring to provide improved treatments to the …

Survey on enterprise Internet-of-Things systems (E-IoT): A security perspective

LP Rondon, L Babun, A Aris, K Akkaya, AS Uluagac - Ad Hoc Networks, 2022 - Elsevier
As technology becomes more widely available, millions of users worldwide have installed
some form of smart device in their homes or workplaces. These devices are often off-the …

Federated intelligence of anomaly detection agent in IoTMD-enabled Diabetes Management Control System

PV Astillo, DG Duguma, H Park, J Kim, B Kim… - Future Generation …, 2022 - Elsevier
Implantable internet of things medical devices (IoTMD) has drawn a disruptive
transformation in the healthcare domain. It has improved the services of healthcare …

Secure Bluetooth communication in smart healthcare systems: a novel community dataset and intrusion detection system

M Zubair, A Ghubaish, D Unal, A Al-Ali, T Reimann… - Sensors, 2022 - mdpi.com
Smart health presents an ever-expanding attack surface due to the continuous adoption of a
broad variety of Internet of Medical Things (IoMT) devices and applications. IoMT is a …

False data injection threats in active distribution systems: A comprehensive survey

MA Husnoo, A Anwar, N Hosseinzadeh… - Future Generation …, 2023 - Elsevier
With the proliferation of smart devices and revolutions in communications, electrical
distribution systems are gradually shifting from passive, manually-operated and inflexible …

Investigation of machine learning techniques in intrusion detection system for IoT network

SSS Sugi, SR Ratna - 2020 3rd international conference on …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) combines the internet and physical objects to transfer information
among the objects. In the emerging IoT networks, providing security is the major issue. IoT …

A self-learning approach for detecting intrusions in healthcare systems

P Radoglou-Grammatikis… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
The rapid evolution of the Internet of Medical Things (IoMT) introduces the healthcare
ecosystem into a new reality consisting of smart medical devices and applications that …

Real-time analysis of privacy-(un) aware IoT applications

L Babun, ZB Celik, P McDaniel, AS Uluagac - arXiv preprint arXiv …, 2019 - arxiv.org
Users trust IoT apps to control and automate their smart devices. These apps necessarily
have access to sensitive data to implement their functionality. However, users lack visibility …

Who's controlling my device? Multi-user multi-device-aware access control system for shared smart home environment

AK Sikder, L Babun, ZB Celik, H Aksu… - ACM Transactions on …, 2022 - dl.acm.org
Multiple users have access to multiple devices in a smart home system–typically through a
dedicated app installed on a mobile device. Traditional access control mechanisms consider …

A novel experience-driven and federated intelligent threat-defense framework in IoMT

B Tahir, A Jolfaei, M Tariq - IEEE Journal of Biomedical and …, 2023 - ieeexplore.ieee.org
The Artificial Intelligence-enabled Internet of Medical Things (AI-IoMT) envisions the
connectivity of medical devices encompassing advanced computing technologies to …