Jia-Chun Lin

According to our database, Jia-Chun Lin authored at least 51 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection.

Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas

CoRR, 2024

Investigating the Privacy Risk of Using Robot Vacuum Cleaners in Smart Environments.

Benjamin Ulsmaag, Jia-Chun Lin, Ming-Chang Lee

CoRR, 2024

GAD: A Real-Time Gait Anomaly Detection System with Online Adaptive Learning.

Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas

Proceedings of the ICT Systems Security and Privacy Protection, 2024

UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes.

Aafan Ahmad Toor, Jia-Chun Lin, Ming-Chang Lee, Ernst Gunnar Gran

Proceedings of the 9th International Conference on Internet of Things, 2024

IoTective: Automated Penetration Testing for Smart Home Environments.

Kevin Nordnes, Jia-Chun Lin, Ming-Chang Lee, Victor Chang

Proceedings of the 9th International Conference on Internet of Things, 2024

Evaluation of K-Means Time Series Clustering Based on Z-Normalization and NP-Free.

Ming-Chang Lee, Jia-Chun Lin, Volker Stolz

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

Comparative Analysis of Real-Time Time Series Representation Across RNNs, Deep Learning Frameworks, and Early Stopping.

Ming-Chang Lee, Jia-Chun Lin, Sokratis K. Katsikas

Proceedings of the 16th International Joint Conference on Knowledge Discovery, 2024

2023

RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series.

Ming-Chang Lee, Jia-Chun Lin

CoRR, 2023

Threats and Risk on Using Digital Technologies for Remote Health Care Process.

Pankaj Khatiwada, Muhammad Ali Fauzi, Bian Yang, Prosper Kandabongee Yeng, Jia-Chun Lin, Luyi Sun

Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology, 2023

RePAD2: Real-Time Lightweight Adaptive Anomaly Detection for Open-Ended Time Series.

Ming-Chang Lee, Jia-Chun Lin

Proceedings of the 8th International Conference on Internet of Things, 2023

RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series.

Ming-Chang Lee, Jia-Chun Lin

Proceedings of the 18th International Conference on Software Technologies, 2023

Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection.

Ming-Chang Lee, Jia-Chun Lin

Proceedings of the 18th International Conference on Software Technologies, 2023

An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT.

Aafan Ahmad Toor, Jia-Chun Lin, Ernst Gunnar Gran, Ming-Chang Lee

Proceedings of the International Conference on Frontiers of Information Technology, 2023

NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series.

Ming-Chang Lee, Jia-Chun Lin, Volker Stolz

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2021

DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks.

Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran

CoRR, 2021

SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series.

Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?

Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran

Proceedings of the Advanced Information Networking and Applications, 2021

2020

A configurable and executable model of Spark Streaming on Apache YARN.

Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen

Int. J. Grid Util. Comput., 2020

ReRe: A Lightweight Real-time Ready-to-Go Anomaly Detection Approach for Time Series.

Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran

CoRR, 2020

Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks Based on Automatic LSTM Customization and Sharing.

Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran

Proceedings of the Euro-Par 2020: Parallel Processing, 2020

ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series.

Ming-Chang Lee, Jia-Chun Lin, Ernst Gunner Gan

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

RePAD: Real-Time Proactive Anomaly Detection for Time Series.

Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran

Proceedings of the Advanced Information Networking and Applications, 2020

DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction.

Ming-Chang Lee, Jia-Chun Lin

Proceedings of the Advanced Information Networking and Applications, 2020

2019

PDS: Deduce elder privacy from smart homes.

Ming-Chang Lee, Jia-Chun Lin, Olaf Owe

Internet Things, 2019

A Flexible Framework for Program Evolution and Verification.

Olaf Owe, Jia-Chun Lin, Elahe Fazeldehkordi

Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development, 2019

A Framework for Flexible Program Evolution and Verification of Distributed Systems.

Olaf Owe, Elahe Fazeldehkordi, Jia-Chun Lin

Proceedings of the Model-Driven Engineering and Software Development, 2019

2018

Privacy Mining from IoT-Based Smart Homes.

Ming-Chang Lee, Jia-Chun Lin, Olaf Owe

Proceedings of the Advances on Broadband and Wireless Computing, 2018

Modeling and Simulation of Spark Streaming.

Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen

Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications, 2018

EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN.

Ming-Chang Lee, Jia-Chun Lin, Olaf Owe

Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications, 2018

2017

A Model-Based Scalability Optimization Methodology for Cloud Applications.

Jia-Chun Lin, Jacopo Mauro, Thomas Brox Røst, Ingrid Chieh Yu

Proceedings of the 2017 IEEE 7th International Symposium on Cloud and Service Computing, 2017

2016

Hybrid Job-Driven Scheduling for Virtual MapReduce Clusters.

Ming-Chang Lee, Jia-Chun Lin, Ramin Yahyapour

IEEE Trans. Parallel Distributed Syst., 2016

Performance evaluation of job schedulers on Hadoop YARN.

Jia-Chun Lin, Ming-Chang Lee

Concurr. Comput. Pract. Exp., 2016

Impacts of Task Re-Execution Policy on MapReduce Jobs.

Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen

Comput. J., 2016

Comparing AWS Deployments Using Model-Based Predictions.

Einar Broch Johnsen, Jia-Chun Lin, Ingrid Chieh Yu

Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation: Discussion, Dissemination, Applications, 2016

ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters.

Jia-Chun Lin, Ingrid Chieh Yu, Einar Broch Johnsen, Ming-Chang Lee

Proceedings of the Fundamental Approaches to Software Engineering, 2016

2015

Impact of MapReduce Policies on Job Completion Reliability and Job Energy Consumption.

Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen

IEEE Trans. Parallel Distributed Syst., 2015

Analyzing job completion reliability and job energy consumption for a heterogeneous MapReduce cluster under different intermediate-data replication policies.

Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen

J. Supercomput., 2015

PAReS: A Proactive and Adaptive Redundant System for MapReduce.

Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen

J. Inf. Sci. Eng., 2015

2014

Proactive Distributed Digital Evidence Preservation with Tamper Resistance, Perfect Secrecy and High Survivability.

Jia-Chun Lin, Shiuhpyng Shieh, Chia-Wei Hsu

J. Inf. Sci. Eng., 2014

Scheduling MapReduce tasks on virtual MapReduce clusters from a tenant's perspective.

Jia-Chun Lin, Ming-Chang Lee, Ramin Yahyapour

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Impact of MapReduce Task Re-execution Policy on Job Completion Reliability and Job Completion Time.

Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen, Waqaas Munawar

Proceedings of the 28th IEEE International Conference on Advanced Information Networking and Applications, 2014

2013

Analyzing job completion reliability and job energy consumption for a general MapReduce infrastructure.

Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen

J. High Speed Networks, 2013

Deriving Job Completion Reliability and Job Energy Consumption for a General MapReduce Infrastructure from Single-Job Perspective.

Jia-Chun Lin, Fang-Yie Leu, Ming-Chang Lee, Ying-Ping Chen

Proceedings of the 27th International Conference on Advanced Information Networking and Applications Workshops, 2013

2012

A Semi-Preemptive Computational Service System with Limited Resources and Dynamic Resource Ranking.

Fang-Yie Leu, Keng-Yen Chao, Ming-Chang Lee, Jia-Chun Lin

Algorithms, 2012

2011

Improving Data Grids Performance by Using Popular File Replicate First Algorithm.

Fang-Yie Leu, Ming-Chang Lee, Jia-Chun Lin

Proceedings of the 2011 International Conference on Broadband, 2011

2008

Detection workload in a dynamic grid-based intrusion detection environment.

Fang-Yie Leu, Ming-Chang Li, Jia-Chun Lin, Chao-Tung Yang

J. Parallel Distributed Comput., 2008

Lightweight, Distributed Key Agreement Protocol for Wireless Sensor Networks.

Che-Cheng Lin, Shiuhpyng Shieh, Jia-Chun Lin

Proceedings of the Second International Conference on Secure System Integration and Reliability Improvement, 2008

A Pollution Attack Resistant Multicast Authentication Scheme Tolerant to Packet Loss.

Warren W. Lin, Shiuhpyng Shieh, Jia-Chun Lin

Proceedings of the Second International Conference on Secure System Integration and Reliability Improvement, 2008

2007

An Enhanced DGIDE Platform for Intrusion Detection.

Fang-Yie Leu, Fuu-Cheng Jiang, Ming-Chang Li, Jia-Chun Lin

Proceedings of the Autonomic and Trusted Computing, 4th International Conference, 2007

2005

A Performance-Based Grid Intrusion Detection System.

Fang-Yie Leu, Jia-Chun Lin, Ming-Chang Li, Chao-Tung Yang

Proceedings of the 29th Annual International Computer Software and Applications Conference, 2005

Integrating Grid with Intrusion Detection.

Fang-Yie Leu, Jia-Chun Lin, Ming-Chang Li, Chao-Tung Yang, Po-Chi Shih

Proceedings of the 19th International Conference on Advanced Information Networking and Applications (AINA 2005), 2005