A Grid-Enabled Adaptive Problem Solving Environment. - Yoonhee Kim; Ilkyeun Ra; Salim Hariri; Yangwoo Kim (European Across Grids Conference, 2004)

A Trust Evaluation Model for Cloud Computing. - Hyukho Kim; Hana Lee; Woongsup Kim; Yangwoo Kim (FGIT-GDC, 2009)

Predictable Cloud Provisioning Using Analysis of User Resource Usage Patterns in Virtualized Environment. - Hyukho Kim; Woongsup Kim; Yangwoo Kim (FGIT-GDC/CA, 2010)

A Data Processing Framework for Cloud Environment Based on Hadoop and Grid Middleware. - Hyukho Kim; Woongsup Kim; Kyoungmook Lee; Yangwoo Kim (FGIT-GDC, 2011)

A Pattern-Based Prediction Model for Dynamic Resource Provisioning in Cloud Environment. - Hyukho Kim; Woongsup Kim; Yangwoo Kim (KSII Trans. Internet Inf. Syst., 2011)

A Peer-to-Peer Based Job Distribution Model Using Dynamic Network Structure Transformation. - Seungha Lee; Yangwoo Kim; Woongsup Kim (MUSIC, 2013)

Apache Hama: An Emerging Bulk Synchronous Parallel Computing Framework for Big Data Applications. - Kamran Siddique; Zahid Akhtar; Edward J. Yoon; Young-Sik Jeong; Dipankar Dasgupta; Yangwoo Kim (IEEE Access, 2016)

Intrusion Detection in High-Speed Big Data Networks: A Comprehensive Approach. - Kamran Siddique; Zahid Akhtar; Yangwoo Kim (CSA/CUTE, 2017)

Decreasing Delay Variation In Multimedia Applications In Single-Hop Wireless. - Motahareh Mobasheri; Yangwoo Kim; Haeng-Gon Lee; Mehdi Dehghan TakhtFooladi (ICMSSP, 2017)

Toward Bulk Synchronous Parallel-Based Machine Learning Techniques for Anomaly Detection in High-Speed Big Data Networks. - Kamran Siddique; Zahid Akhtar; Haeng-Gon Lee; Woongsup Kim; Yangwoo Kim (Symmetry, 2017)

Investigating Apache Hama: a bulk synchronous parallel computing framework. - Kamran Siddique; Zahid Akhtar; Yangwoo Kim; Young-Sik Jeong; Edward J. Yoon (J. Supercomput., 2017)

Developing an Intrusion Detection Framework for High-Speed Big Data Networks: A Comprehensive Approach. - Kamran Siddique; Zahid Akhtar; Muhammad Ashfaq Khan; Yong-Hwan Jung; Yangwoo Kim (KSII Trans. Internet Inf. Syst., 2018)

A Two-Stage Big Data Analytics Framework with Real World Applications Using Spark Machine Learning and Long Short-Term Memory Network. - Muhammad Ashfaq Khan; Md. Rezaul Karim 001; Yangwoo Kim (Symmetry, 2018)

CANet: A Channel Attention Network to Determine Informative Multi-channel for Image Classification from Brain Signals. - Yangwoo Kim; Sehyeon Jang; Kyungho Won; Sung Chan Jun (EMBC, 2019)

KDD Cup 99 Data Sets: A Perspective on the Role of Data Sets in Network Intrusion Detection Research. - Kamran Siddique; Zahid Akhtar; Farrukh Aslam Khan; Yangwoo Kim (Computer, 2019)

A Scalable and Hybrid Intrusion Detection System Based on the Convolutional-LSTM Network. - Muhammad Ashfaq Khan; Md. Rezaul Karim 001; Yangwoo Kim (Symmetry, 2019)

Toward Developing Fog Decision Making on the Transmission Rate of Various IoT Devices Based on Reinforcement Learning. - Motahareh Mobasheri; Yangwoo Kim; Woongsup Kim (IEEE Internet Things Mag., 2020)

Fog Fragment Cooperation on Bandwidth Management Based on Reinforcement Learning. - Motahareh Mobasheri; Yangwoo Kim; Woongsup Kim (Sensors, 2020)

Toward an Adaptive Threshold on Cooperative Bandwidth Management Based on Hierarchical Reinforcement Learning. - Motahareh Mobasheri; Yangwoo Kim; Woongsup Kim (Sensors, 2021)

An Efficient Hyperparameter Control Method for a Network Intrusion Detection System Based on Proximal Policy Optimization. - Hyojoon Han; Hyukho Kim; Yangwoo Kim (Symmetry, 2022)

Correlation between Deep Neural Network Hidden Layer and Intrusion Detection Performance in IoT Intrusion Detection System. - Hyojoon Han; Hyukho Kim; Yangwoo Kim (Symmetry, 2022)