Exploring Machine Learning Algorithms for User Activity Inference from IoT Network Traffic

K Xu, Y Wan, X Lin, F Wang… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
The availability of ubiquitous and heterogeneous Internet-of-Things (IoT) devices in smart
homes and their interactions with users provide a unique opportunity to monitor, understand …

Supervising Smart Home Device Interactions: A Profile-Based Firewall Approach

F De Keersmaeker, R Sadre, C Pelsser - arXiv preprint arXiv:2310.03510, 2023 - arxiv.org
Internet of Things devices can now be found everywhere, including in our households in the
form of Smart Home networks. Despite their ubiquity, their security is unsatisfactory, as …

Extracting Spatial Information of IoT Device Events for Smart Home Safety Monitoring

Y Wan, X Lin, K Xu, F Wang… - IEEE INFOCOM 2023-IEEE …, 2023 - ieeexplore.ieee.org
Smart home IoT devices have been widely deployed and connected to many home networks
for various applications such as intelligent home automation, connected healthcare, and …

Discovering Complex Correlations Among Multiple IoT Devices in Smart Environments

A D'Angelo, C Fu, X Du… - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
The ubiquity of the Internet of Things (IoT) in a vast range of consumer applications is
unparalleled. Unfortunately, despite the benefits of IoT, its widespread integration comes …

Transformer-based Compound Correlation Miner for Smart Home Anomaly Detection

A D'Angelo, C Fu, X Du… - 2023 IEEE 12th …, 2023 - ieeexplore.ieee.org
IoT-enabled smart homes can be double-edged swords. On one side, the convenience and
efficiency brought about by smart device integrations can improve the standard of living …

Algorithms and analysis for optimizing the tracking performance of cyber attacked sensor-equipped connected vehicle networks

Z Wang, RS Blum - IEEE Transactions on Information Forensics …, 2021 - ieeexplore.ieee.org
Sensor-equipped connected vehicle networks (SECVNs) have the potential to enable
substantially safer driving by improved object tracking, which is an important basic building …

Stealthy and Practical Multi-modal Attacks on Mixed Reality Tracking

Y Chandio, N Bashir, FM Anwar - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Mixed Reality (MR) is rapidly becoming an essential technology for critical applications such
as physical therapy and surgery, in addition to its early use for leisure activities. This …

Inferring User Activities from IoT Device Events in Smart Homes: Challenges and Opportunities

X Lin, Y Wan, K Xu, F Wang… - … Conference on Computer …, 2022 - ieeexplore.ieee.org
The ubiquitous deployment of IoT devices in smart homes has led to growing research
interests in studying the home network traffic for various applications such as network …

[PDF][PDF] Smart firewall for IoT and Smart Home applications

J Oliva, D Mohandes, R Sadre - 2022 - dial.uclouvain.be
The last decade has seen the emergence of the Internet of Things (IoT), and its derivatives
such as smart homes. As a result, the amount of attacks against these systems has also …

IMEO: Anomaly Detection for IoT Devices using Semantic-based Correlations.

S Oh, J Hong, D Kim, EK Lee… - International Journal of …, 2024 - search.ebscohost.com
Abstract In the Internet of Things (IoT) security, anomalies due to attacks or device
malfunctions can have serious consequences in our daily lives. Previous solutions have …