activity
20192025
most citedMachine Learning Based Solutions for Security of Internet of Things (IoT): A Survey

474 citations · 1.5k across the 23 of their papers we have counts for

collaborators

24 papers

cs.NI2025★ 20 cited

Improving Remote Patient Monitoring Systems Using a Fog-based IoT Platform with Speech Recognition

Marc Jayson Baucas, Petros Spachos

Due to the recent shortage of resources in the healthcare industry, Remote Patient Monitoring (RPM) systems arose to establish a convenient alternative for accessing healthcare ser…

cs.CR2023★ 1 cited

Federated Kalman Filter for Secure IoT-based Device Monitoring Services

Marc Jayson Baucas, Petros Spachos

Device monitoring services have increased in popularity with the evolution of recent technology and the continuously increased number of Internet of Things (IoT) devices. Among the…

cs.LG2023★ 8 cited

Federated Learning and Blockchain-enabled Fog-IoT Platform for Wearables in Predictive Healthcare

Marc Baucas, Petros Spachos, Konstantinos Plataniotis

Over the years, the popularity and usage of wearable Internet of Things (IoT) devices in several healthcare services are increased. Among the services that benefit from the usage o…

cs.NI2022★ 1 cited

A Kernel Method to Nonlinear Location Estimation with RSS-based Fingerprint

Pai Chet Ng, Petros Spachos, James She +1

This paper presents a nonlinear location estimation to infer the position of a user holding a smartphone. We consider a large location with number of grid points, each grid poi…

cs.CR2021

Public Key Reinforced Blockchain Platform for Fog-IoT Network System Administration

Marc Jayson Baucas, Petros~Spachos, Konstantinos Plataniotis

The number of embedded devices that connect to a wireless network has been growing for the past decade. This interaction creates a network of Internet of Things (IoT) devices where…

cs.CR2021

Personal Devices for Contact Tracing: Smartphones and Wearables to Fight Covid-19

Pai Chet Ng, Petros Spachos, Stefano Gregori +1

Digital contact tracing has emerged as a viable tool supplementing manual contact tracing. To date, more than 100 contact tracing applications have been published to slow down the…