Machine learning in generation, detection, and mitigation of cyberattacks in smart grid: A survey

NI Haque, MH Shahriar, MG Dastgir, A Debnath… - arXiv preprint arXiv …, 2020 - arxiv.org
Smart grid (SG) is a complex cyber-physical system that utilizes modern cyber and physical
equipment to run at an optimal operating point. Cyberattacks are the principal threats …

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 …

[PDF][PDF] The Truth Shall Set Thee Free: Enabling Practical Forensic Capabilities in Smart Environments.

L Babun, AK Sikder, A Acar, AS Uluagac - NDSS, 2022 - ndss-symposium.org
In smart environments such as smart homes and offices, the interaction between devices,
users, and apps generate abundant data. Such data contain valuable forensic information …

Attack detection for medical cyber-physical systems–a systematic literature review

SB Weber, S Stein, M Pilgermann, T Schrader - IEEE Access, 2023 - ieeexplore.ieee.org
The threat situation due to cyber attacks in hospitals is emerging and patient life is at risk.
One significant source of potential vulnerabilities is medical cyber-physical systems (MCPS) …

A novel framework for threat analysis of machine learning-based smart healthcare systems

NI Haque, MA Rahman, MH Shahriar, AA Khalil… - arXiv preprint arXiv …, 2021 - arxiv.org
Smart healthcare systems (SHSs) are providing fast and efficient disease treatment
leveraging wireless body sensor networks (WBSNs) and implantable medical devices …

[PDF][PDF] Integrity assessment of medical devices for improving hospital services

FA Alzahrani, M Ahmad, M Nadeem… - … , Materials & Continua, 2021 - academia.edu
The present study examines the various techniques being used to maintain the integrity of
the medical devices, and develops a quantitative framework to list these in the sequence of …

Federated intrusion detection in NG-IoT healthcare systems: An adversarial approach

I Siniosoglou, P Sarigiannidis… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
In recent years and with the advancement of IoT networks, malicious intrusions aiming at
disrupting the services and getting access to confidential information in medical …

Aegis+ A Context-aware Platform-independent Security Framework for Smart Home Systems

AK Sikder, L Babun, AS Uluagac - Digital Threats: Research and …, 2021 - dl.acm.org
The introduction of modern Smart Home Systems (SHSs) is redefining the way we perform
everyday activities. Today, myriad SHS applications and the devices they control are widely …

TrMAps: Trust management in specification-based misbehavior detection system for IMD-enabled artificial pancreas system

PV Astillo, G Choudhary, DG Duguma… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Advances of implantable medical devices (IMD) are transforming the traditional method of
providing medical treatment, especially those patients under the most challenging condition …

[PDF][PDF] Healthcare device security assessment through computational methodology.

M Ahmad, JF Al-Amri, AF Subahi, S Khatri… - … Systems Science & …, 2022 - researchgate.net
The current study discusses the different methods used to secure healthcare devices and
proposes a quantitative framework to list them in order of significances. The study uses the …