A survey of physics-based attack detection in cyber-physical systems

J Giraldo, D Urbina, A Cardenas, J Valente… - ACM Computing …, 2018 - dl.acm.org
Monitoring the “physics” of cyber-physical systems to detect attacks is a growing area of
research. In its basic form, a security monitor creates time-series models of sensor readings …

Limiting the impact of stealthy attacks on industrial control systems

DI Urbina, JA Giraldo, AA Cardenas… - Proceedings of the …, 2016 - dl.acm.org
While attacks on information systems have for most practical purposes binary outcomes
(information was manipulated/eavesdropped, or not), attacks manipulating the sensor or …

A survey on security and privacy issues in Internet-of-Things

Y Yang, L Wu, G Yin, L Li, H Zhao - IEEE Internet of things …, 2017 - ieeexplore.ieee.org
Internet-of-Things (IoT) are everywhere in our daily life. They are used in our homes, in
hospitals, deployed outside to control and report the changes in environment, prevent fires …

[PDF][PDF] Iotguard: Dynamic enforcement of security and safety policy in commodity IoT.

ZB Celik, G Tan, PD McDaniel - NDSS, 2019 - cs.uwaterloo.ca
Broadly defined as the Internet of Things (IoT), the growth of commodity devices that
integrate physical processes with digital connectivity has changed the way we live, play, and …

BPDS: A blockchain based privacy-preserving data sharing for electronic medical records

J Liu, X Li, L Ye, H Zhang, X Du… - 2018 IEEE Global …, 2018 - ieeexplore.ieee.org
Electronic medical record (EMR) is a crucial form of healthcare data, currently drawing a lot
of attention. Sharing health data is considered to be a critical approach to improve the …

Cloud-assisted secure eHealth systems for tamper-proofing EHR via blockchain

S Cao, G Zhang, P Liu, X Zhang, F Neri - Information Sciences, 2019 - Elsevier
The wide deployment of cloud-assisted electronic health (eHealth) systems has already
shown great benefits in managing electronic health records (EHRs) for both medical …

Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction

MF Rabby, Y Tu, MI Hossen, I Lee, AS Maida… - BMC Medical Informatics …, 2021 - Springer
Background Blood glucose (BG) management is crucial for type-1 diabetes patients
resulting in the necessity of reliable artificial pancreas or insulin infusion systems. In recent …

Machine learning in the Internet of Things: Designed techniques for smart cities

IU Din, M Guizani, JJPC Rodrigues, S Hassan… - Future Generation …, 2019 - Elsevier
Abstract Machine learning is one of the emerging technologies that has grabbed the
attention of academicians and industrialists, and is expected to evolve in the near future …

Vcash: a novel reputation framework for identifying denial of traffic service in internet of connected vehicles

Z Tian, X Gao, S Su, J Qiu - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
Trust management of the Internet of Connected Vehicles has been a hot topic in recent
years with the rapid development of UGV technologies. However, existing resolutions based …

Active learning for wireless IoT intrusion detection

K Yang, J Ren, Y Zhu, W Zhang - IEEE Wireless …, 2018 - ieeexplore.ieee.org
The Internet of Things (IoT) is becoming truly ubiquitous in our everyday lives, but it also
faces unique security challenges. Intrusion detection is critical for the security and safety of a …