2021 - present
Base Station Gateway to Secure User Channel Access at the First Hop Edge
Sang-Yoon Chang, Arijet Sarker, Simeon Wuthier, Jinoh Kim, Jonghyun Kim, Xiaobo
Zhou
To appear in Elsevier Computer Networks (COMNET) (impact factor: 6.962)
Feasibility of Transfer Learning for Network Anomaly Detection
Donghwoon Kwon, Naveen Chennaiepalem, Junekyoung Lee, Jinoh Kim
International Symposium on Innovation in Information Technology and Application (ISIITA’24)
Cebu island, Philippines, January 2024 (Best oral presentation)
An Empirical Evaluation of Autoencoding-based Location Spoofing Detection
Chiho Kim , Sang-Yoon Chang, Jonghyun Kim, and Jinoh Kim
22nd IEEE International Conference on Machine Learning and Applications
Jacksonville, December 15-17, 2023
Distributed and Lightweight Software Assurance in Cellular Broadcasting Handshake and Connection Establishment
Sourav Purification, Jinoh Kim, Jonghyun Kim, Ikkyun Kim, Sang-Yoon Chang
MDPI Electronics Journal, September 2023
Automated, Reliable Zero-day Malware Detection based on Autoencoding Architecture
Chiho Kim, Sang-Yoon Chang, Jonghyun Kim, Dongeun Lee, Jinoh Kim
IEEE Transactions on Network and Service Management (TNSM) (impact factor: 4.758)
Vol. 20, Issue. 3, pp. 3900–3914, September 2023
Lightweight Software Assurance for Distributed Mobile Networking,
f
Sang-Yoon Chang, Simeon wuthier, Jonghyun Kim, Jinoh Kim
22nd International Conference on Security & Management (SAM'23)
Las Vegas, NV, July 2023
Leveraging History to Predict Infrequent Abnormal Transfers in Distributed Workflows
Robin Shao, Alex Sim, Kesheng Wu, Jinoh Kim
MDPI Sensors Special Issues on Anomaly Detection and Monitoring for Networks and IoT Systems, June 2023
Towards Securing UAV Flying Base Station: Misplacement Impact Analyses on Battery and Power
Sang-Yoon Chang, Kyungmin Park, Jonghyun Kim, Jinoh Kim
5th ACM Workshop on Systems and Network Telemetry and Analytics (SNTA'23)
Orlando, FL, June 20, 2023 (in conjunction with HPDC'23)
Evaluating Unbalanced Network Data for Attack Detection
Donghwoon Kwon, Rares-Mihail Neagu, Prem Rasakonda, Jeong Tak Ryu, Jinoh Kim
5th ACM Workshop on Systems and Network Telemetry and Analytics (SNTA'23)
Orlando, FL, June 20, 2023 (in conjunction with HPDC'23)
Securing UAV Flying Base Station for Mobile Networking: A Review
Sang-Yoon Chang, Kyungmin Park, Jonghyun Kim, Jinoh Kim
MDPI Future Internet Journal, May 2023
Reliable Detection of Location Spoofing and Variation Attacks
Chiho Kim, Sang-Yoon Chang, Dongeun Lee, Jonghyun Kim, Kyungmin Park, Jinoh Kim
IEEE Access, January 2023 (impact factor: 3.367)
Version++: Cryptocurrency Blockchain Handshaking With Software Assurance
Arijet Sarker, Simeon Wuthier, Jinoh Kim, Jonghyun Kim, Sang-Yoon Chang
IEEE Consumer Communications & Networking Conference (CCNC'23)
Las Vegas, NV, January 2023
Dynamic ID Randomization for User Privacy in Mobile Network
Arijet Sarker, SangHyun Byun, Manohar Raavi, Jinoh Kim, Jonghyun Kim, and Sang-Yoon Chang
ETRI Journal, Volume 44, Issue 6, pp. 903–914, December 2022 (impact factor: 1.347)
Battery DoS Threat Impact Based on Misplacing Flying Base Station
Sang-Yoon Chang, Jonghyun Kim, and Jinoh Kim
6th International conference on Interdisciplinary research on Computer Science, Psychology, and Education (ICICPE'22)
Pattaya, Thailand, December 2022
Deep Sequence Models for Packet Stream Analysis and Early Decisions
Minji Kim, Dongeun Lee, Kookjin Lee, Doowon Kim, Sangman Lee, and Jinoh Kim
IEEE 46th Conference on Local Computer Networks (LCN'22) (acceptance rate: 25%)
Edmonton Canada, September 26-29, 2022
A Machine Learning Approach to Anomaly Detection based on Traffic Monitoring for Secure Blockchain Networking
Jinoh Kim, Makiya Nakashima, Wenjun Fan, Simeon Wuthier, Xiaobo Zhou, Ikkyun Kim, and Sang-Yoon Chang
IEEE Transactions on Network and Service Management (TNSM) (impact factor: 4.758)
Vol. 19, No. 3, pp. 3619--3632, September 2022
Lightweight and Identifier-Oblivious Engine for Cryptocurrency Networking Anomaly Detection
Wenjun Fan, Hsiang-Jen Hong, Jinoh Kim, Simeon Wuthier, Makiya Nakashima, Xiaobo Zhou, Ching-Hua Chow, and Sang-Yoon Chang
IEEE Transactions on Dependable and Secure Computing (TDSC) (impact factor: 6.404)
doi: 10.1109/TDSC.2022.3152937, 2022
Impact of Location Spoofing Attacks on Performance Prediction in Mobile Networks
Nikhil Sai Kanuri, Sang-Yoon Chang, Younghee Park, Jonghyun Kim, and Jinoh Kim
Silicon Valley Cybersecurity Conference (SVCC'22), Virtual, August 17-19, 2022
Predicting Slow Network Transfers in Scientific Computing
Robin Shao, Jinoh Kim, Alex Sim, K. and John Wu
5th ACM Workshop on Systems and Network Telemetry and Analytics (SNTA'22)
Minneapolis, MN, June 30, 2022 (in conjunction with HPDC'22)
Lightweight Code Assurance Proof for Wireless Software
Theo Gamboni-Diehl, Simeon Wuthier, Jinoh Kim, Jonghyun Kim, and Sang-Yoon Chang
15th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec'22)
Austin, TX, May 2022 (Poster)
Enhancing IoT Anomaly Detection Performance for Federated Learning
Brett Weinger, Jinoh Kim, Alex Sim, Makiya Nakashima, Nour Moustafa, and K. John Wu
Digital Communications and Networks Journal (DCN) (impact factor: 5.382)
Vol. 8, No. 3, pp. 314–323, 2022
Zero-day Malware Detection using Threshold-free Autoencoding Architecture
Chiho Kim , Sang-Yoon Chang, Jonghyun Kim, Dongeun Lee, and Jinoh Kim
IEEE International Conference on Big Data (BigData'21)
Virtual conference, December 16-18, 2021 (short paper)
Towards Securing Availability in 5G: Analyzing the Injection Attack Impact on Core Network
Manohar Raavi, Simeon Wuthier, Arijet Sarker, Jinoh Kim, Jonghyun Kim, and Sang-Yoon Chang
Silicon Valley Cybersecurity Conference (SVCC'21)
Virtual conference, December 1-4, 2021
Network Traffic Performance Analysis from Passive Measurements using Gradient Boosting Machine Learning
Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, and K. John Wu
International Journal of Big Data Intelligence (IJBDI)
Vol. 8, No. 1, pp. 13-30, 2021
A Machine Learning Approach to Peer Connectivity Estimation for Reliable Blockchain Networking
Jinoh Kim, Makiya Nakashima, Wenjun Fan, Simeon Wuthier, Xiaobo Zhou, Ikkyun Kim, and Sang-Yoon Chang
IEEE 46th Conference on Local Computer Networks (LCN'21)
Virtual conference, October 4-7, 2021 (short paper)
Robust P2P Connectivity Estimation for Permissionless Bitcoin Network
Hsiang-Jen Hong, Wenjun Fan, Simeon Wuthier, Jinoh Kim, Xiaobo Zhou, C. Edward Chow, and Sang-Yoon Chang
IEEE/ACM 29th International Symposium on Quality of Service (IWQOS'21)
Virtual conference, June 25-28, 2021 (short paper)
Anomaly Detection based on Traffic Monitoring for Secure Blockchain Networking
Jinoh Kim, Makiya Nakashima, Wenjun Fan, Simeon Wuthier, Xiaobo Zhou, Ikkyun Kim, and Sang-Yoon Chang
IEEE International Conference on Blockchain and Cryptocurrency (ICBC'21)
Virtual conference, May 3-5, 2021 (acceptance rate: 18%, Best Paper Finalist)
Automated Feature Selection for Anomaly Detection in Network Traffic Data
Makiya Nakashima, Alex Sim, Youngsoo Kim, Jonghyun Kim, and Jinoh Kim
ACM Transactions on Management Information Systems (TMIS) (impact factor: 2.312)
Vol. 12, No.3, pp.1--28, 2021
A Scalable Learning Model for Multi-seasonal Time Series Forecasting
Hun-Jeong Kang, Christopher Kallas, Myung-Hwan Park, and Jinoh Kim
20th International Conference on Electronics, Information, and Communication (ICEIC 2021)
Jeju, Korea, January 31-February 3, 2021
Performance Analyses for Applying Machine Learning on Bitcoin Miners
Wenjun Fan, Jinoh Kim, Ikkyun Kim, Xiaobo Zhou, and Sang-Yoon Chang
20th International Conference on Electronics, Information, and Communication (ICEIC 2021)
Jeju, Korea, January 31-February 3, 2021
Clustering-based Label Estimation for Network Anomaly Detection
Sunhee Baek, Donghwoon Kwon, Sang Suh, Hyunjoo Kim, Ikkyun Kim, and Jinoh Kim
Digital Communications and Networks Journal (DCAN), Elsevier (impact factor: 5.382)
Vol. 7, No. 1, pp. 37-44, 2021
2016 - 2020
Enhancing IoT Anomaly Detection Performance for Federated Learning
Brett Weinger, Jinoh Kim, Alex Sim, Makiya Nakashima, Nour Moustafa, K. John Wu
16th International Conference on Mobility, Sensing and Networking (MSN 2020)
Tokyo, Japan, December 17-19, 2020
Also presented in SC2020 (Poster)
Botnet Detection Using Recurrent Variational Autoencoder
Jeeyung Kim, Alex Sim, Jinoh Kim, K. John Wu
IEEE Global Communications Conference (Globecom 2020)
Taipei, Taiwan, December 7-11, 2020
Learning-based Dynamic Cache Management in a Cloud
Jinhwan Choi, Yu Gu, Jinoh Kim
Journal of Parallel and Distributed Computing (JPDC), Elsevier (impact factor: 2.296)
Vol. 145, Pages 98-110, November 2020
A Learning-based Data Augmentation for Network Anomaly Detection
Mohammad Al Olaimat, Dongeun Lee, Youngsoo Kim, Jonghyun Kim, Jinoh Kim
29th International Conference on Computer Communications and Networks (ICCCN 2020)
Honolulu, HI, August 2020 (acceptance rate: 28.9%)
Evaluation of Deep Learning Models for Network Performance Prediction for Scientific Facilities
Makiya Nakashima, Alex Sim, Jinoh Kim
3rd ACM Workshop on Systems and Network Telemetry and Analytics (SNTA2020)
Stockholm, Sweden, June 2020
Transfer Learning Approach for Botnet Detection based on Recurrent Variational Autoencoder
Jeeyung Kim, Alex Sim, Jinoh Kim, K. John Wu, Jaegyoon Hahm
3rd ACM Workshop on Systems and Network Telemetry and Analytics (SNTA2020)
Stockholm, Sweden, June 2020
QoS-enabled Cache Architecture for a Private Cloud
Taejoon Kim, Yu Gu, Jinoh Kim
International Conference on Computing, Networking and Communications (ICNC'20)
Big Island, HI, February 2020 (acceptance rate: 24.9%)
An Empirical Evaluation of Deep Learning for Network Anomaly Detection
Ritesh Malaiyai, Donghwoon Kwon, Sang Suh, Hyunjoo Kim, Ikkyun Kim, Jinoh Kim
IEEE Access Journal (impact factor: 4.09)
Vol. 7, No. 1, pp. 140806–140817, December 2019
Improving Signature Quality for Network Application Identification
Justin Tharp, Sang C. Suh, Hyeonkoo Cho, Jinoh Kim
Digital Communications and Networks Journal (DCAN), Elsevier
Vol. 5, No. 3, pp. 139-146, August 2019
Generating Labeled Flow Data from MAWILab Traces for Network Intrusion Detection
Jinoh Kim, Caitlin Sim, and Jinhwan Choi
ACM Workshop on Systems and Network Telemetry and Analytics (SNTA)
Phoenix, AZ, June 2019
Automatic Detection of Network Traffic Anomalies and Changes
Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, and K. John Wu
ACM Workshop on Systems and Network Telemetry and Analytics (SNTA)
Phoenix, AZ, June 2019
Multivariate Network Traffic Analysis using Clustered Patterns
Jinoh Kim, Alex Sim, Brian Tierney, Sang C. Suh, Ikkyun Kim
Computing Journal, Springer (impact factor: 1.47)
Vol. 101, No. 4, pp.339-361, April 2019
A New Approach to Multivariate Network Traffic Analysis
Jinoh Kim and Alex Sim
Journal of Computer Science and Technology (JCST), Springer (impact factor: 1.06)
Vol. 34, No. 2, pp.388-402, March 2019
A Survey of Deep Learning-based Network Anomaly Detection
Donghwoon Kwon, Hyunjoo Kim, Jinoh Kim, Sang C. Suh, Ikkyun Kim, Kuinam J. Kim
Cluster Computing (journal), Springer
Vol. 22, Supplement 1, pp. 1-13, January 2019 (impact factor: 2.04)
An Encoding Technique for CNN-based Network Anomaly Detection
Taejoon Kim, Sang C. Suh, Hyunjoo Kim, Jonghyun Kim, Jinoh Kim
The 2nd International Workshop on Big Data Analytics for Cyber Intelligence and Defense (BDA4CID 2018)
Seattle, WA, December 10-13, 2018
An Empirical Study on Network Anomaly Detection using Convolutional Neural Networks
Donghwoon Kwon, Kathiravan Natarajan, Sang C. Suh, Hyunjoo Kim, Jinoh Kim
The 1st International Workshop on Scalable Network Traffic Analytics (SNTA'18)
Vienna, Austria, July 2, 2018
Spatio-temporal Analysis of HPC I/O and Connection Data
Jinoh Kim, Jinhwan Choi, Alex Sim
The 1st International Workshop on Scalable Network Traffic Analytics (SNTA'18)
Vienna, Austria, July 2, 2018
Website Fingerprinting Attack Mitigation using Traffic Morphing
Eric Chan-Tin, Taejoon Kim, Jinoh Kim
The 1st International Workshop on Scalable Network Traffic Analytics (SNTA'18)
Vienna, Austria, July 2, 2018
An Empirical Evaluation of Deep Learning for Network Anomaly Detection
Ritesh K. Malaiya, Donghwoon Kwon, Jinoh Kim, Sang C. Suh, Hyunjoo Kim, Ikkyun Kim
International Conference on Computing, Networking and Communications (ICNC'18)
Hawaii, USA, March 5-8, 2018 (acceptance rate: 26%)
Scalable Gene Sequence Analysis on Spark
Muthahar Syed, Taehyun Hwang, Jinoh Kim
Big Data and Visual Analytics, pp. 97-113, Springer, 2017 (Book chapter, ISBN 978-3-319-63917-8)
A New Approach to Online, Multivariate Network Traffic Analysis
Jinoh Kim and Alex Sim
The 2nd Workshop on Network Security Analytics and Automation (NSAA'17)
Vancouver, Canada, July 31-August 3, 2017
Unsupervised Labeling for Supervised Anomaly Detection in Enterprise and
Cloud Networks
Sunhee Baek, Donghwoon Kwon, Jinoh Kim, Sang C. Suh, Hyunjoo Kim, Ikkyun Kim
The 4th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud'17)
New York, NY, June 26-28, 2017 (acceptance rate: 28.7%)
A Lightweight Network Anomaly Detection Technique
Jinoh Kim, Wucheol Yoo, Alex Sim, Sang C. Suh, Ikkyun Kim
IEEE International Workshop on Computing, Networking and Communications (ICNC/CNC'17)
Silicon Valley, CA, January 2017
An Approach to Online Network Monitoring Using Clustered Patterns
Jinoh Kim, Alex Sim, Sang C. Suh, Ikkyun Kim
IEEE International Conference on Computing, Networking and Communications (ICNC'17)
Silicon Valley, CA, January 2017 (acceptance rate: 29%)
2011 - 2015
Enhancing Classification Accuracy using a Spatial Partitioning Technique
Humberto Aguilar, Ilhwan Moon, Jinoh Kim, Sang C. Suh, and Ganho Choi
The 20th SDPS Conference (SDPS 2015)
Dallas, TX, November 2015
Security for Scientific Data Services Framework
Jinoh Kim, Bin Dong, Surendra Byna, K. John Wu
The 2nd International Workshop on Privacy and Security of Big Data (IEEE BigData/PSBD'15)
Santa Clara, CA, October 2015
A Case Study on Converged Security with Event Correlation of Physical and Information Security
Koohong Kang and Jinoh Kim
International Journal of Security and its Applications, SERSC
Vol. 9, No. 9, pp.77-94, 2015
Incorporating Multiple Cluster Models for Network Traffic Classification
Anil Kumar, Jinoh Kim, Sang C. Suh, and Ganho Choi
The 40th IEEE Conference on Local Computer Networks (LCN 2015)
Clearwater Beach, FL, October 2015 (Short paper)
Exploiting Replication for Energy-Aware Scheduling in Disk Storage Systems
Jerry Chou, Ting-Hsuan Lai, Jinoh Kim, Doron Rotem
IEEE Transactions on Parallel and Distributed Systems
Vol. 26, No. 10, pp. 2734-2749, 2015 (impact factor: 2.17)
Scalable Security Event Aggregation for Situation Analysis
Jinoh Kim, Ilhwan Moon, Kyungil Lee, Sang C. Suh, and Ikkyun Kim
The first IEEE Conference Big Data Services (BigDataService'15)
San Francisco, March 2015 (acceptance rate: 25%)
A Security-enabled Grid System for MINDS Distributed Data Mining
Seonho Kim, Jinoh Kim, Jon B. Weissman
Journal of Grid Computing, Springer (impact factor: 1.67)
Vol. 12, No. 3, pp.521-542, 2014.
A Hybrid Classifier with a Binning Method for Network Application Identification
Ilhwan Moon, Umar Albalawi, Jinoh Kim, Sang C. Suh, Wang-Hwan Lee
Journal of Integrated Design and Process Science, SDPS
Vol. 18, No. 2, pp.3-22, September 2014
Maximizing True Positives for Signature-based Network Application Identification
Justin Tharp, Jinoh Kim, Sang C. Suh, Hyeonkoo Cho
The 19th SDPS Conference (SDPS 2014)
Kuching, Malaysia, June 2014
Incorporating Multiple Supervised Learning Algorithms for Effective Intrusion Detection
Umar Albalawi, Sang C. Suh, Jinoh Kim
International Conference on Computer Networks and Security (ICCNS 2014)
Barcelona, Spain, February 2014
iPACS: Power-Aware Covering Sets for Energy Proportionality and Performance in Data Parallel Computing Clusters
Jinoh Kim, Jerry Chou, Doron Rotem
Journal of Parallel and Distributed Computing, Elsevier (impact factor: 1.12)
Vol. 74, No. 1, pp.1762-1774, January 2014
Reconciling Multiple Matches for the Signature-Based Application Identification
Justin Tharp, Jinoh Kim, Sang C. Suh, Hyeonkoo Cho
3rd International Conference on Communication and Network Security (ICCNS'13)
London, UK, November 2013
Also published in
Journal of Communications, ETPub,
Vol. 8, No. 12, December 2013
A Hybrid Classifier using Payload Encoding and Flow Statistics for Application Identification
Ilhwan Moon, Umar Albalawi, Jinoh Kim, Sang C. Suh, Wang-Hwan Lee
The 18th SDPS Conference (SDPS 2013)
Campinas, Brazil, October 2013
FREP: Energy Proportionality for Disk Storage Using Replication
Jinoh Kim and Doron Rotem
Journal of Parallel and Distributed Computing (impact factor: 1.12)
Vol. 72, No. 8, pp. 960-974, August 2012
Network Awareness for Volunteer Networks
Jon Weissman and Jinoh Kim
Book chapter in Desktop Grid Computing (Editor: Christophe Cerin and Gilles Fedak)
Chapman and Hall/CRC, ISBN-10:1439862141, ISBN-13:978-1439862148, May 2012
Energy Saving Techniques for Disk Storage Systems
Jerry Chou, Jinoh Kim, and Doron Rotem
Book chapter in Handbook of Energy-Aware and Green Computing (Editor: Sanjay Ranka and Ishfaq Ahmad)
Chapman & Hall/CRC, ISBN-10:1439850402, ISBN-13:978-1439850404, January 2012
Parallel In Situ Indexing for Data-intensive Computing
Jinoh Kim, Hasan Abbasi, Luis Chacon, Ciprian Docan, Scott Klasky, Qing Liu, Norbert Podhorszki, Arie Shoshani, K. John Wu
IEEE Symposium on Large-scale Data Analysis and Visualization (LDAV 2011)
Providence, RI, October 2011
Passive Network Performance Estimation for Large-scale, Data-intensive Computing
Jinoh Kim, Abhishek Chandra, and Jon Weissman
IEEE Transactions on Parallel and Distributed Systems (impact factor: 2.17)
Vol. 22 No. 8, pp. 1365-1373, August 2011
Data Parallelism for Large-scale Distributed Computing
Jinoh Kim
International Journal on Internet and Distributed Computing Systems (IJIDCS'11), ISSN: 2219-1887
Vol. 1, No. 1, pp.1-11 June 2011
Energy Proportionality and Performance in Data Parallel Computing Clusters
Jinoh Kim, Jerry Chou, and Doron Rotem
23rd Scientific and Statistical Database Management Conference (SSDBM'11)
Portland, OR, July 2011
Energy-aware Scheduling in Disk Storage Systems
Jerry Chou, Jinoh Kim, and Doron Rotem
31st International Conference on Distributed Computing Systems (ICDCS'11)
Minneapolis, MN, June 2011 (acceptance rate: 15%)
Energy Proportionality for Disk Storage Using Replication
Jinoh Kim and Doron Rotem
14th International Conference on Extending Database Technology (EDBT'11)
Uppsala, Sweden, March 2011 (acceptance rate: 27%)
2006 - 2010
Using Replication for Energy Conservation in RAID Systems
Jinoh Kim and Doron Rotem
International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'10)
Las Vegas, NV, July 2010
Using Data Accessibility for Resource Selection in Large-scale Distributed Systems
Jinoh Kim, Abhishek Chandra, and Jon Weissman
IEEE Transactions on Parallel and Distributed Systems (impact factor: 2.17)
Vol. 20, No. 6, pp.788-801, June 2009
Accessibility-based Resource Selection in Loosely-coupled Distributed Systems
Jinoh Kim, Abhishek Chandra, and Jon Weissman
28th International Conference on Distributed Computing Systems (ICDCS'08)
Beijing, China, June 2008 (acceptance rate: 16%)
Exploiting Heterogeneity for Collective Data Downloading in Volunteer-based Networks
Jinoh Kim, Abhishek Chandra, and Jon Weissman
7th IEEE International Symposium on Cluster Computing and the Grid (CCGrid'07)
Rio de Janeiro, Brazil, May 2007 (acceptance rate: 33%)
NGS: Service Adaptation in Open Grid Platforms
Krishnaveni Budati, Jinoh Kim, Abhishek Chandra, and Jon B. Weissman
IPDPS NSF Next Generation Software Workshop
Long Beach, CA, March 2007
DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing
Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric Eilertson, Levent Ertoz, Gyorgy Simon, Seonho Kim, and Jinoh Kim
Workshop on Dynamic Data Driven Application Systems (in ICCS 2007)
Beijing, China, May 2007
Prior to 2006: here