A survey on sensor-based threats and attacks to smart devices and applications
Modern electronic devices have become “smart” as well as omnipresent in our day-to-day
lives. From small household devices to large industrial machines, smart devices have …
lives. From small household devices to large industrial machines, smart devices have …
Adversarial machine learning: A multilayer review of the state-of-the-art and challenges for wireless and mobile systems
J Liu, M Nogueira, J Fernandes… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Machine Learning (ML) models are susceptible to adversarial samples that appear as
normal samples but have some imperceptible noise added to them with the intention of …
normal samples but have some imperceptible noise added to them with the intention of …
A survey on security and privacy issues in modern healthcare systems: Attacks and defenses
Recent advancements in computing systems and wireless communications have made
healthcare systems more efficient than before. Modern healthcare devices can monitor and …
healthcare systems more efficient than before. Modern healthcare devices can monitor and …
Biota: Control-aware attack analytics for building internet of things
Modern building control systems adopt demand control heating, ventilation, and cooling
(HVAC) for increased energy efficiency. The integration of the Internet of Things (IoT) in the …
(HVAC) for increased energy efficiency. The integration of the Internet of Things (IoT) in the …
A novel framework for threat analysis of machine learning-based smart healthcare systems
Smart healthcare systems (SHSs) are providing fast and efficient disease treatment
leveraging wireless body sensor networks (WBSNs) and implantable medical devices …
leveraging wireless body sensor networks (WBSNs) and implantable medical devices …
Adversarial attacks and defenses in physiological computing: A systematic review
D Wu, J Xu, W Fang, Y Zhang, L Yang, X Xu… - arXiv preprint arXiv …, 2021 - arxiv.org
Physiological computing uses human physiological data as system inputs in real time. It
includes, or significantly overlaps with, brain-computer interfaces, affective computing …
includes, or significantly overlaps with, brain-computer interfaces, affective computing …
Active machine learning adversarial attack detection in the user feedback process
Modern Information and Communication Technology (ICT)-based applications utilize current
technological advancements for purposes of streaming data, as a way of adapting to the …
technological advancements for purposes of streaming data, as a way of adapting to the …
Aegis+ A Context-aware Platform-independent Security Framework for Smart Home Systems
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 …
everyday activities. Today, myriad SHS applications and the devices they control are widely …
Sentinel: A robust intrusion detection system for IoT networks using kernel-level system information
The concept of Internet of Things (IoT) has changed the way we live by integrating
commodity devices with cyberspace to automate our everyday tasks. Nowadays, IoT devices …
commodity devices with cyberspace to automate our everyday tasks. Nowadays, IoT devices …
Biocad: Bio-inspired optimization for classification and anomaly detection in digital healthcare systems
The modern smart digital healthcare system (SDHS) is leaning towards automation of
patient disease monitoring and treatment with the advent of wireless body sensor networks …
patient disease monitoring and treatment with the advent of wireless body sensor networks …