Contact
π© [email protected]
πΊοΈ Seoul, Republic of Korea
Research Area
βοΈ Cloud Computing
β»οΈ Resource Management
π‘οΈ Information Security
Social
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About Me
Hello! Iβm a Ph.D. student in the Department of Computer Science & Artificial Intelligence at Dongguk University, and a member of the uCloud Computing Lab. My research areas cover resource management and information security in cloud computing. Currently, Iβm focusing on resource autoscaling and malware detection algorithms using machine learning in cloud-native computing.
Education
M.S.
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- ~ 2023. 02.
- Dept. of Multimedia Engineering at Dongguk University, Seoul, Republic of Korea
- Advisor: Prof. Young-Sik Jeong
- Thesis: Container Resource Management based on SCINet for High-Performance Cloud Computing π
B.S.
-
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- ~ 2021. 02.
- Dept. of Computer Science and Engineering at Kongju National University, Cheonan, Republic of Korea
Award and Scholarship
- Best Research Award, Dongguk University, Aug. 2024.
- Best Paper Award, The 18th International Conference on Multimedia and Ubiquitous Engineering, Apr. 2024.
- Full Scholarship for Ph.D. Course, Dongguk University, Feb. 2023.
- Science and Engineering Scholarship, Dongguk University, Feb. 2021.
- Partial Merit Scholarship, Kongju National University, Aug. 2020.
- Half Merit Scholarship, Kongju National University, Feb. 2020.
- Best Award, KNU Startup Competition, Dec. 2019.
- Grand Award, Regional Union University Startup Competition, Nov. 2019.
- Full Merit Scholarship, Kongju National University, Aug. 2019.
- Full Merit Scholarship, Kongju National University, Feb. 2019.
- Half Merit Scholarship, Kongju National University, Aug. 2018.
- Partial Merit Scholarship, Kongju National University, Feb. 2016.
- Partial Merit Scholarship, Kongju National University, Aug. 2015.
Publications
( *: co-first author; **: co-corresponding author )
Ongoing Works
- Enhanced Adversarial Defense Model with Vector Compression and Ensemble Learning (Submitted)
Seungyeon Baek, Byeonghui Jeong, Jueun Jeon, Young-Sik Jeong
- ARAScaler: Adaptive Resource Autoscaling Scheme using ETimeMixer for Efficient Cloud-native Computing (Revision)
Byeonghui Jeong, Young-Sik Jeong
- Evaluation of engagement in online learning: Insights based on human factor analysis (Revision)
Sanga Park*, Byeonghui Jeong*, Chul Lee**, Young-Sik Jeong**
International Journal
- Dynamic Resource Management Scheme for Digital Twin on Cloud-native Computing
Human-centric Computing and Information Sciences, Accepted, Jul. 2024.
Gi Tae Kim, Byeonghui Jeong, Young-Sik Jeong
- TMaD: Three-tier malware detection using multi-view feature for secure convergence ICT environments π
Expert Systems, Accepted, Jul. 2024.
Jueun Jeon, Byeonghui Jeong, Seungyeon Baek, Young-Sik Jeong
- Burst-Aware Horizontal Autoscaling Based on Deep Learning for Stable Microservices π
Human-centric Computing and Information Sciences, vol. 14, no. 67, pp. 1-15, Nov. 2024.
Jin Park, Byeonghui Jeong, Jueun Jeon, Young-Sik Jeong
- PreVA: Predictive Vertical Autoscaler using Multi Bi-GRU for Sustainable Cloud-Native Computing π
Human-centric Computing and Information Sciences, vol. 14, no. 41, pp. 1-17, Jul. 2024.
Jueun Jeon*, Byeonghui Jeong*, Young-Sik Jeong
- Efficient Container Scheduling with Hybrid Deep Learning Model for Improved Service Reliability in Cloud Computing π
IEEE Access, vol. 12, pp. 65166-65177, May 2024.
Jueun Jeon*, Sihyun Park*, Byeonghui Jeong, Young-Sik Jeong
- Intelligent Resource Scaling for Container-Based Digital Twin Simulation of Consumer Electronics π
IEEE Transactions on Consumer Electronics, vol. 70, no. 1, pp. 3131-3140, Feb. 2024.
Jueun Jeon, Byeonghui Jeong, Young-Sik Jeong
- Static Multi Feature-Based Malware Detection Using Multi SPP-net in Smart IoT Environments π
IEEE Transactions on Information Forensics and Security, vol. 19, pp. 2487-2500, Jan. 2024.
Jueun Jeon, Byeonghui Jeong, Young-Sik Jeong
- Proactive Resource Autoscaling Scheme based on SCINet for High-performance Cloud Computing π
IEEE Transactions on Cloud Computing, vol. 11, no. 4, pp. 3497-3509, Dec. 2023.
Byeonghui Jeong, Jueun Jeon, Young-Sik Jeong
- Early Prediction of Ransomware API Calls Behaviour based on GRU-TCN in Healthcare IoT π
Connection Science, vol. 35, no. 1, pp. 1-15, Jul. 2023.
Jueun Jeon*, Seungyeon Baek*, Byeonghui Jeong, Young-Sik Jeong
- Stable and efficient resource management using deep neural network on cloud computing π
Neurocomputing, vol. 521, pp. 99-112, Feb. 2023.
Byeonghui Jeong, Seungyeon Baek, Sihyun Park, Jueun Jeon, Young-Sik Jeong
- Hybrid Malware Detection Based on Bi-LSTM and SPP-Net for Smart IoT π
IEEE Transactions on Industrial Informatics, vol. 18, no. 7, pp. 4830-4837, Jul. 2022.
Jueun Jeon, Byeonghui Jeong, Seungyeon Baek, Young-Sik Jeong
- Two-Stage Hybrid Malware Detection Using Deep Learning π
Human-centric Computing and Information Sciences, vol. 11, no. 27, pp. 1-14, Jun. 2021.
Seungyeon Baek, Jueun Jeon, Byeonghui Jeong, Young-Sik Jeong
Domestic Journal
- Development of a Personal Clothing Recommendation System that Reflects Individual Temperature Sensitivity π
Journal of Digital Convergence, vol. 19, no. 2, pp. 357-363, Feb. 2021.
Byeonghui Jeong, Woo-Seok Kim, Sang-Yong Lee
Conference
- Proactive Resource Management Scheme for High-performance Fog Computing
in Proceedings of the 16th International Conference on Computer Science and its Applications (CSA 2024), Pattaya, Thailand, Dec. 2024.
Subin Jeong, Byeonghui Jeong, Young-Sik Jeong
- Ensemble Malware Classifier with Feature Squeezing based on Arithmetic Coding
in Proceedings of the 2024 International Conference on Future Information Technology, applications and services (IFIT 2024), Seoul, Republic of Korea, Oct.-Nov. 2024.
Seungyeon Baek, Byeonghui Jeong, Jueun Jeon, Young-Sik Jeong
- Intelligent Resource Management Scheme for Efficient Cloud-based Digital Twinning
in Proceedings of the 18th International Conference on Multimedia and Ubiquitous Engineering (MUE 2024), Chongqing, China, Apr. 2024.
Byeonghui Jeong, Jueun Jeon, Young-Sik Jeong
- Proactive Container Autoscaling using DEVS for Efficient Cloud-Native Computing
in Proceedings of the 2024 World Congress on Information Technology Applications and Services (World IT Congress 2024), Jeju, Republic of Korea, Feb. 2024.
Byeonghui Jeong, Jueun Jeon, Young-Sik Jeong
- λ¨μΌ μΉ΄λ©λΌλ₯Ό μ΄μ©ν μ¨λΌμΈ νμ νλ«νΌ μ¬μ©μμ μ§μ€λ νκ°
in Proceedings of the 36th Workshop on Image Processing and Image Understanding (IPIU 2024), Jeju, Republic of Korea, Feb. 2024.
Sanga Park, Byeonghui Jeong, Chul Lee, Young-Sik Jeong
- 3-tier Malware Detection on Cloud Computing
in Proceedings of the 15th International Conference on Computer Science and its Applications (CSA 2023), Nha Trang, Vietnam, Dec. 2023.
Jueun Jeon, Byeonghui Jeong, Young-Sik Jeong
- CoHA: Context-optimized Hybrid Autoscaling Scheme based on Reinforcement Learning and Deep Learning
in Proceedings of the 7th International Conference on Big data, IoT, and Cloud Computing (BIC 2023), Jeju, Republic of Korea, Aug. 2023.
Byeonghui Jeong, Jueun Jeon, Young-Sik Jeong
- Efficient Container Management Scheme based on Deep Learning Model
in Proceedings of the 14th International Conference on Computer Science and its Applications (CSA 2022), Vientiane, Laos, Dec. 2022.
Byeonghui Jeong, Jueun Jeon, Seungyeon Baek, Young-Sik Jeong
- Actual Resource Usage based Container Scheduler for High Resource Utilization
in Proceedings of the14th International Conference on Computer Science and its Applications (CSA 2022), Vientiane, Laos, Dec. 2022.
Sihyun Park, Jueun Jeon, Byeonghui Jeong, Kyuwon Park, Seungyeon Baek, Young-Sik Jeong
- Ransomware Behavior Prediction with Deep Learning Model
in Proceedings of the International Conference on Future Information Technology, applications and services (IFIT 2022), Seoul, Republic of Korea, Oct. 2022.
Seungyeon Baek, Jueun Jeon, Byeonghui Jeong, Young-Sik Jeong
- Optimal Scenario Scheduling for Efficient Resource Utilization on Cloud Computing
in Proceedings of the 6th International Conference on Big data, IoT, and Cloud Computing (BIC 2022), Jeju, Republic of Korea, Aug. 2022.
Sihyun Park, Byeonghui Jeong, Jueun Jeon, Young-Sik Jeong
- High Availability Resource Management using Deep Neural Network
in Proceedings of the 16th International Conference on Multimedia and Ubiquitous Engineering (MUE 2022), Jeju, Republic of Korea, Apr. 2022.
Byeonghui Jeong, Jueun Jeon, Seungyeon Baek, Kyuwon Park, Sihyun Park, Young-Sik Jeong
- Horizontal Pod Autoscaling using Deep learning for Stable Resource Management
in Proceedings of the 2022 World Congress on Information Technology Applications and Services (World IT Congress 2022), Jeju, Republic of Korea, Feb. 2022.
Byeonghui Jeong, Jueun Jeon, Seungyeon Baek, Young-Sik Jeong
- Adaptive Vertical Pod Autoscaler for Efficient Cloud Computing Resource Utilization based on Bi-LSTM
in Proceedings of the 13th International Conference on Computer Science and its Applications (CSA 2021), Jeju, Republic of Korea, Dec. 2021.
Seungchul Kim, Byeonghui Jeong, Sihyun Park, Jueun Jeon, Young-Sik Jeong
- Obfuscated Malware Detection using Multimodal Deep Learning
in Proceedings of the 5th International Conference on Big data, IoT, and Cloud Computing (BIC 2021), Jeju, Republic of Korea, Aug. 2021.
Jueun Jeon, Seungyeon Baek, Byeonghui Jeong, Young-Sik Jeong
- Two Stage Malware Detection Method using Hybrid Analysis Feature
in Proceedings of the 12th International Conference on Computer Science and its Applications (CSA 2020), Jeju, Republic of Korea, Dec. 2020.
Seungyeon Baek, Jueun Jeon, Byeonghui Jeong, Young-Sik Jeong
Patents
- Method of detecting Malware based on Multi SPP-Net and Apparatus for executing the same
10-2024-0093985, Jul. 17. 2024
Young-Sik Jeong, Jueun Jeon, Byeonghui Jeong
- Method of Autoscaling Resource and Cloud-Native Computing System for executing the same
10-2024-0039897, Mar. 22, 2024
Young-Sik Jeong, Jueun Jeon, Byeonghui Jeong
- Method of Resource Scaling for Container-based Digital Twin Simulation and System for executing the same
10-2024-0039896, Mar. 22, 2024
Young-Sik Jeong, Jueun Jeon, Byeonghui Jeong
- Method of predicting vertical autoscaling and cloud-native computing system for executing the same
10-2024-0039895, Mar. 22, 2024
Young-Sik Jeong, Jueun Jeon, Byeonghui Jeong
- Method of predicting Ransomware and Apparatus for executing the same
10-2024-0039894, Mar. 22, 2024
Young-Sik Jeong, Jueun Jeon, Byeonghui Jeong
- Clothing recommendation server reflecting user sensitive temperature, and clothing recommendation method using the same
no. 10-2598151, Oct. 31, 2023.
Byeonghui Jeong, Woo-Seok Kim, Sang-Yong Lee
Academic Activities
Reviewer
- International Journal of Information Technology & Decision Making β24
- IEEE Transactions on Neural Networks and Learning Systems β24
- Concurrency and Computation: Practice and Experience β24
- Cluster Computing β24
- EURASIP Journal on Information Security β24
- Journal of Supercomputing β24
Computer Skills
Language
- C, Java, Python (Pytorch), Go
Cloud computing platform
Last updated: 18 November, 2024