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ASTREAM: Data-stream-driven scalable anomaly detection with accuracy guarantee in IIoT environment
Intrusion detection exerts a crucial influence on securing the IIoT driven by anomaly
detection approaches. Dissimilar with the static data, the intrusion detection data is in the …
detection approaches. Dissimilar with the static data, the intrusion detection data is in the …
Popularity-aware and diverse web APIs recommendation based on correlation graph
The ever-increasing web application programming interfaces (APIs) in various service-
sharing communities (eg, ProgrammableWeb. com and Mashape. com) have enabled …
sharing communities (eg, ProgrammableWeb. com and Mashape. com) have enabled …
Privacy-aware point-of-interest category recommendation in internet of things
In location-based social networks (LBSNs), extensive user check-in data incorporating user
preferences for location is collected through Internet of Things devices, including cell …
preferences for location is collected through Internet of Things devices, including cell …
Time-aware missing healthcare data prediction based on ARIMA model
L Kong, G Li, W Rafique, S Shen, Q He… - … ACM transactions on …, 2022 - ieeexplore.ieee.org
Healthcare uses state-of-the-art technologies (such as wearable devices, blood glucose
meters, electrocardiographs), which results in the generation of large amounts of data …
meters, electrocardiographs), which results in the generation of large amounts of data …
Computation energy efficiency maximization for intelligent reflective surface-aided wireless powered mobile edge computing
A wide variety of Mobile Devices (MDs) are adopted in Internet of Things (IoT) environments,
resulting in a dramatic increase in the volume of task data and greenhouse gas emissions …
resulting in a dramatic increase in the volume of task data and greenhouse gas emissions …
Edge intelligent joint optimization for lifetime and latency in large-scale cyber–physical systems
In recent years, the exploration on large-scale cyber–physical systems (CPSs) has become
a fertile research field of significant impact. Large-scale CPS applications cover not only …
a fertile research field of significant impact. Large-scale CPS applications cover not only …
Decomposed task scheduling for security-critical mobile cyber–physical systems
With the recent advances in mobile sensing, computing, and communication technologies,
mobile cyber–physical systems (MCPSs) become a promising networking paradigm that …
mobile cyber–physical systems (MCPSs) become a promising networking paradigm that …
LIAS: A lightweight incentive authentication scheme for forensic services in IoV
Internet of Vehicles (IoV) has become an indispensable data sensing and processing
platform in Internet of Things (IoT) for intelligent transportation. The mounted cameras on the …
platform in Internet of Things (IoT) for intelligent transportation. The mounted cameras on the …
Diversity-driven automated web API recommendation based on implicit requirements
H Kou, J Xu, L Qi - Applied Soft Computing, 2023 - Elsevier
With the rapid growth of the web API sharing community, Mashup development has become
a popular way for software developers to quickly create Mashup applications. Mashup …
a popular way for software developers to quickly create Mashup applications. Mashup …
Online energy-efficient scheduling of DAG tasks on heterogeneous embedded platforms
Heterogeneous distributed computing systems are becoming more and more common to
process practical applications in many embedded systems, where energy efficiency is very …
process practical applications in many embedded systems, where energy efficiency is very …