Privacy-preserving anomaly counting for time-series data in edge-assisted crowdsensing
Crowdsensing is an emerging data collection paradigm that enables data collected from a
large number of Internet of Things devices to support effective decision-making. Anomaly …
large number of Internet of Things devices to support effective decision-making. Anomaly …
Practical encrypted network traffic pattern matching for secure middleboxes
Network Function Virtualisation (NFV) advances the adoption of composable software
middleboxes. Accordingly, cloud data centres become major NFV vendors for enterprise …
middleboxes. Accordingly, cloud data centres become major NFV vendors for enterprise …
Outsourced privacy-preserving anomaly detection in time series of multi-party
C Zhang, W Zuo, P Yang, Y Li… - China Communications, 2022 - ieeexplore.ieee.org
Anomaly detection has practical significance for finding unusual patterns in time series.
However, most existing algorithms may lose some important information in time series …
However, most existing algorithms may lose some important information in time series …
Privacy Preserving Anomaly Detection on Homomorphic Encrypted Data from IoT Sensors
IoT devices have become indispensable components of our lives, and the advancement of
AI technologies will make them even more pervasive, increasing the vulnerability to …
AI technologies will make them even more pervasive, increasing the vulnerability to …
AI for Health-Related Data Modeling: DCN Application Analysis
N Cheng - International Journal of Information System Modeling …, 2022 - igi-global.com
Data modeling of health-related data from Data Center (DC) has positive effects for health
monitoring, disease prevention, and healthcare research. However, health-related data has …
monitoring, disease prevention, and healthcare research. However, health-related data has …
Accelerating TEE-based DNN inference using mean shift network pruning
C Xu, S Lai - Quality, Reliability, Security and Robustness in …, 2021 - Springer
In recent years, deep neural networks (DNNs) have achieved great success in many areas
and have been deployed as cloud services to bring convenience to people's daily lives …
and have been deployed as cloud services to bring convenience to people's daily lives …
Research on executing equipment control algorithm based on multi-sensor pipe gallery
S Xu, W Liu, Y Du - International Conference on Cloud …, 2023 - spiedigitallibrary.org
This article focuses on the implementation of equipment control in the Internet of Things
monitoring system due to the change of environmental parameters. When the abnormal …
monitoring system due to the change of environmental parameters. When the abnormal …