Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-05
D
Donghoon Kim
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: Samsung (South Korea) (2025); Samsung Electronics (South Korea) (2025)
3 h-index
9 pubs
12 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Donghoon Kim is an Assistant Professor at Arkansas State University. His research has explored various topics, including the sensitivity of climate models to factors like carbon dioxide levels and El Niño-Southern Oscillation (ENSO) events. His work has also investigated the phase-locking mechanisms of ENSO to boreal winter in coupled general circulation models and the prediction of diurnal sea surface temperature warming using coupled atmosphere-ocean mixed layer models. More recently, Kim's research has focused on machine learning applications for robust IoT malware detection and classification using opcode category features. He has also investigated the establishment of LoRa networks on smart energy campus testbeds. Kim has published eight papers and has an h-index of 3. He collaborates with several researchers at Arkansas State University, including Andrew Booth, Kyungtae Kim, Yeojin Jung, and Namkyeong Kim.
Metrics
- h-index: 3
- Publications: 9
- Citations: 12
Positions
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Assistant Professor 2016–presentArkansas State University Computer Science ORCID
Selected Publications
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On the Spatiotemporal Generalization Limits of Website Fingerprinting on Tor v3 Onion Services (2026)
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Distributed Secret Protection in Cloud Storage: A Threshold-Based Approach for Nextcloud (2026)
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ACT: Automated CPS Testing for Open-Source Robotic Platforms (2026)
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Enhancing deep hashing with graph filters and autoencoder-based embeddings (2026)
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Empirical Analysis of Security Vulnerabilities in Open Source Software Using Static Analysis Tools (2025)
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Improving Antimicrobial Resistance (AMR) Phenotype Prediction for Unseen Bacteria through Data Augmentation and Machine Learning (2025)
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Enhanced Android Malware Detection: Fine-Grained Opcode analysis, Data Augmentation and Zero-Day Evaluation (2025)
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An Empirical Study: Feasibility of Website Fingerprinting Attacks in Real-Time Environments on V3 Onion Services (2025)
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Website Fingerprinting Attacks with Advanced Features on Tor Networks (2024)
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Enhancing Deep Hashing With GCN-Based Models for Efficient Similarity Search (2024)
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Poster: Advanced Features for Real-Time Website Fingerprinting Attacks on Tor (2024)
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Analyzing Various Machine Learning Approaches for Detecting Android Malware (2024)
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Employing Machine Learning for the Prediction of Antimicrobial Resistance (AMR) Phenotypes (2024)
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Devised Deephashing Models Through Self-Supervised Learning for Image Retrieval (2023)
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Robust IoT Malware Detection and Classification Using Opcode Category Features on Machine Learning (2023)
Collaboration Network
Top Collaborators
Doosung Hwang
Dankook University (KR)
14 shared publications
- Robust IoT Malware Detection and Classification Using Opcode Category Features on Machine Learning
- Histogram Entropy Representation and Prototype Based Machine Learning Approach for Malware Family Classification
- Evolved IoT Malware Detection using Opcode Category Sequence through Machine Learning
- Performance Analysis of Tor Website Fingerprinting over Time using Tree Ensemble Models
- Employing Machine Learning for the Prediction of Antimicrobial Resistance (AMR) Phenotypes
Showing 5 of 14 shared publications
Wongyum Kim
KG Chemical (South Korea) (KR)
4 shared publications
- Performance Analysis of Tor Website Fingerprinting over Time using Tree Ensemble Models
- Enhancing Deep Hashing With GCN-Based Models for Efficient Similarity Search
- Devised Deephashing Models Through Self-Supervised Learning for Image Retrieval
- Enhancing deep hashing with graph filters and autoencoder-based embeddings
Sooin Kim
Dankook University (KR)
3 shared publications
- Robust IoT Malware Detection and Classification Using Opcode Category Features on Machine Learning
- Devised Deephashing Models Through Self-Supervised Learning for Image Retrieval
- Enhancing deep hashing with graph filters and autoencoder-based embeddings
Andrew Booth
Arkansas State University
3 shared publications
In database
- Website Fingerprinting Attacks with Advanced Features on Tor Networks
- Poster: Advanced Features for Real-Time Website Fingerprinting Attacks on Tor
- An Empirical Study: Feasibility of Website Fingerprinting Attacks in Real-Time Environments on V3 Onion Services
Mladen A. Vouk
North Carolina State University (US)
2 shared publications
- About PaaS security
- About PaaS security
Henry E. Schaffer
North Carolina State University (US)
2 shared publications
- About PaaS security
- About PaaS security
Dong-Heon Baek
Dankook University (KR)
2 shared publications
- Robust IoT Malware Detection and Classification Using Opcode Category Features on Machine Learning
- Histogram Entropy Representation and Prototype Based Machine Learning Approach for Malware Family Classification
Hyun‐Jong Lee
2 shared publications
- Robust IoT Malware Detection and Classification Using Opcode Category Features on Machine Learning
- Evolved IoT Malware Detection using Opcode Category Sequence through Machine Learning
Euijin Choo
University of Alberta (CA)
2 shared publications
- Website Fingerprinting Attacks with Advanced Features on Tor Networks
- Poster: Advanced Features for Real-Time Website Fingerprinting Attacks on Tor
Hokeun Kim
Arizona State University (US)
2 shared publications
- Empirical Analysis of Security Vulnerabilities in Open Source Software Using Static Analysis Tools
- ACT: Automated CPS Testing for Open-Source Robotic Platforms
Kyungtae Kim
Arkansas State University
2 shared publications
In database
- Enhancing deep hashing with graph filters and autoencoder-based embeddings
- On the Spatiotemporal Generalization Limits of Website Fingerprinting on Tor v3 Onion Services
Jongyeop Kim
Southern Arkansas University
1 shared publication
In database
- Automated Configuration Parameter Classfication Model for Hive Query Plan on the Apache Yarn
Seong-Soo Kim
Oklahoma State University (US)
1 shared publication
- Automated Configuration Parameter Classfication Model for Hive Query Plan on the Apache Yarn
Hong Liu
Indiana University Kokomo (US)
1 shared publication
- Automated Configuration Parameter Classfication Model for Hive Query Plan on the Apache Yarn
Luke Sample
Arkansas State University
1 shared publication
In database
- Search Prevention with Captcha Against Web Indexing: A Proof of Concept
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