Publications

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2021 - present

Network Traffic Performance Analysis and Anomaly Detection using Supervised Machine Learning
Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu
To appear in International Journal of Big Data Intelligence (IJBDI)

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
To appear in IEEE 46th Conference on Local Computer Networks (LCN 2021)
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 2021)
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 2021)
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, 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, 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, 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, Kesheng 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, November 2020, Pages 98-110

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, Kesheng 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 Kesheng 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, Kesheng 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, Kesheng 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


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