Jinoh Kim

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 62

Top Topics

Network Traffic

Anomaly Detection

Network Anomaly Detection

Top Venues

Publications

Robin Frehner, Kesheng Wu, Alexander Sim, Jinoh Kim, Kurt Stockinger
Detecting Anomalies in Time Series Using Kernel Density Approaches. IEEE Access 12 (2024)
Sang-Yoon Chang, Arijet Sarker, Simeon Wuthier, Jinoh Kim, Jonghyun Kim, Xiaobo Zhou
Base station gateway to secure user channel access at the first hop edge. Comput. Networks 240 (2024)
Arijet Sarker, Simeon Wuthier, Jinoh Kim, Jonghyun Kim, Sang-Yoon Chang
Version++: Cryptocurrency Blockchain Handshaking With Software Assurance. CCNC (2023)
Arijet Sarker, Simeon Wuthier, Jinoh Kim, Jonghyun Kim, Sang-Yoon Chang
Version++ Protocol Demonstration for Cryptocurrency Blockchain Handshaking with Software Assurance. CCNC (2023)
Wenjun Fan, Hsiang-Jen Hong, Jinoh Kim, Simeon Wuthier, Makiya Nakashima, Xiaobo Zhou, Ching-Hua Chow, Sang-Yoon Chang
Lightweight and Identifier-Oblivious Engine for Cryptocurrency Networking Anomaly Detection. IEEE Trans. Dependable Secur. Comput. 20 (2) (2023)
Donghwoon Kwon, Rares-Mihail Neagu, Prem Rasakonda, Jeong-Tak Ryu, Jinoh Kim
Evaluating Unbalanced Network Data for Attack Detection. SNTA@HPDC (2023)
Sang-Yoon Chang, Kyungmin Park, Jonghyun Kim, Jinoh Kim
Towards Securing UAV Flying Base Station: Misplacement Impact Analyses on Battery and Power. SNTA@HPDC (2023)
Chiho Kim, Sang-Yoon Chang, Jonghyun Kim, Dongeun Lee, Jinoh Kim
Automated, Reliable Zero-Day Malware Detection Based on Autoencoding Architecture. IEEE Trans. Netw. Serv. Manag. 20 (3) (2023)
Chiho Kim, Sang-Yoon Chang, Dongeun Lee, Jonghyun Kim, Kyungmin Park, Jinoh Kim
Reliable Detection of Location Spoofing and Variation Attacks. IEEE Access 11 (2023)
Robin Shao, Alex Sim, Kesheng Wu, Jinoh Kim
Leveraging History to Predict Infrequent Abnormal Transfers in Distributed Workflows. Sensors 23 (12) (2023)
Chiho Kim, Sang-Yoon Chang, Jonghyun Kim, Jinoh Kim
An Empirical Evaluation of Autoencoding-Based Location Spoofing Detection. ICMLA (2023)
Sang-Yoon Chang, Kyungmin Park, Jonghyun Kim, Jinoh Kim
Securing UAV Flying Base Station for Mobile Networking: A Review. Future Internet 15 (5) (2023)
Theo Gamboni-Diehl, Simeon Wuthier, Jinoh Kim, Jonghyun Kim, Sang-Yoon Chang
Lightweight Code Assurance Proof for Wireless Software. WISEC (2022)
Luca Vassio, Danilo Giordano, Jinoh Kim, Jon Crowcroft
Message from the Chairs of the WAIN workshop 2021. SIGMETRICS Perform. Evaluation Rev. 49 (4) (2022)
Brett Weinger, Jinoh Kim, Alex Sim, Makiya Nakashima, Nour Moustafa, K. John Wu
Enhancing IoT anomaly detection performance for federated learning. Digit. Commun. Networks 8 (3) (2022)
Sehan Samarakoon, Yushan Siriwardhana, Pawani Porambage, Madhusanka Liyanage, Sang-Yoon Chang, Jinoh Kim, Jonghyun Kim, Mika Ylianttila
5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network. CoRR (2022)
Nikhil Sai Kanuri, Sang-Yoon Chang, Younghee Park, Jonghyun Kim, Jinoh Kim
Impact of Location Spoofing Attacks on Performance Prediction in Mobile Networks. SVCC (2022)
Hsiang-Jen Hong, Wenjun Fan, Simeon Wuthier, Jinoh Kim, C. Edward Chow, Xiaobo Zhou, Sang-Yoon Chang
Robust P2P networking connectivity estimation engine for permissionless Bitcoin cryptocurrency. Comput. Networks 219 (2022)
Robin Shao, Jinoh Kim, Alex Sim, Kesheng Wu
Predicting Slow Network Transfers in Scientific Computing. SNTA@HPDC (2022)
Minji Kim, Dongeun Lee, Kookjin Lee, Doowon Kim, Sangman Lee, Jinoh Kim
Deep Sequence Models for Packet Stream Analysis and Early Decisions. LCN (2022)
Jinoh Kim, Makiya Nakashima, Wenjun Fan, Simeon Wuthier, Xiaobo Zhou, Ikkyun Kim, Sang-Yoon Chang
A Machine Learning Approach to Anomaly Detection Based on Traffic Monitoring for Secure Blockchain Networking. IEEE Trans. Netw. Serv. Manag. 19 (3) (2022)
Jinoh Kim, Massimo Cafaro, Jerry Chou, Alex Sim
SNTA'22: The 5th Workshop on Systems and Network Telemetry and Analytics. HPDC (2022)
Hsiang-Jen Hong, Wenjun Fan, Simeon Wuthier, Jinoh Kim, Xiaobo Zhou, C. Edward Chow, Sang-Yoon Chang
Robust P2P Connectivity Estimation for Permissionless Bitcoin Network. IWQoS (2021)
Wenjun Fan, Jinoh Kim, Ikkyun Kim, Xiaobo Zhou, Sang-Yoon Chang
Performance Analyses for Applying Machine Learning on Bitcoin Miners. ICEIC (2021)
Chiho Kim, Sang-Yoon Chang, Jonghyun Kim, Dongeun Lee, Jinoh Kim
Zero-day Malware Detection using Threshold-free Autoencoding Architecture. IEEE BigData (2021)
Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu
Network traffic performance analysis from passive measurements using gradient boosting machine learning. Int. J. Big Data Intell. 8 (1) (2021)
Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm
Improving Botnet Detection with Recurrent Neural Network and Transfer Learning. CoRR (2021)
Makiya Nakashima, Alex Sim, Youngsoo Kim, Jonghyun Kim, Jinoh Kim
Automated Feature Selection for Anomaly Detection in Network Traffic Data. ACM Trans. Manag. Inf. Syst. 12 (3) (2021)
Manohar Raavi, Simeon Wuthier, Arijet Sarker, Jinoh Kim, Jong Hyun Kim, Sang-Yoon Chang
Towards Securing Availability in 5G: Analyzing the Injection Attack Impact on Core Network. SVCC (2021)
Jinoh Kim, Makiya Nakashima, Wenjun Fan, Simeon Wuthier, Xiaobo Zhou, Ikkyun Kim, Sang-Yoon Chang
A Machine Learning Approach to Peer Connectivity Estimation for Reliable Blockchain Networking. LCN (2021)
Sunhee Baek, Donghwoon Kwon, Sang C. Suh, Hyunjoo Kim, Ikkyun Kim, Jinoh Kim
Clustering-based label estimation for network anomaly detection. Digit. Commun. Networks 7 (1) (2021)
Jinoh Kim, Makiya Nakashima, Wenjun Fan, Simeon Wuthier, Xiaobo Zhou, Ikkyun Kim, Sang-Yoon Chang
Anomaly Detection based on Traffic Monitoring for Secure Blockchain Networking. IEEE ICBC (2021)
Hun-Jeong Kang, Christopher Kallas, Myung-Hwan Park, Jinoh Kim
A Scalable Learning Model for Multi-seasonal Time Series Forecasting. ICEIC (2021)
Makiya Nakashima, Alex Sim, Jinoh Kim
Evaluation of Deep Learning Models for Network Performance Prediction for Scientific Facilities. SNTA@HPDC (2020)
Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu
Botnet Detection Using Recurrent Variational Autoencoder. GLOBECOM (2020)
Jinhwan Choi, Yu Gu, Jinoh Kim
Learning-based dynamic cache management in a cloud. J. Parallel Distributed Comput. 145 (2020)
Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu
Botnet Detection Using Recurrent Variational Autoencoder. CoRR (2020)
Taejoon Kim, Yu Gu, Jinoh Kim
QoS-enabled Cache Architecture for a Private Cloud. ICNC (2020)
Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm
Transfer Learning Approach for Botnet Detection Based on Recurrent Variational Autoencoder. SNTA@HPDC (2020)
Brett Weinger, Jinoh Kim, Alex Sim, Makiya Nakashima, Nour Moustafa, K. John Wu
Enhancing IoT Anomaly Detection Performance for Federated Learning. MSN (2020)
Mohammad Al Olaimat, Dongeun Lee, Youngsoo Kim, Jonghyun Kim, Jinoh Kim
A Learning-based Data Augmentation for Network Anomaly Detection. ICCCN (2020)
Jinoh Kim
Session details: Keynote Speech. SNTA@HPDC (2019)
Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu
Automatic Detection of Network Traffic Anomalies and Changes. SNTA@HPDC (2019)
Justin Tharp, Sang C. Suh, Hyeonkoo Cho, Jinoh Kim
Improving signature quality for network application identification. Digit. Commun. Networks 5 (3) (2019)
Burak Cetin, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu
Federated Wireless Network Intrusion Detection. IEEE BigData (2019)
Donghwoon Kwon, Hyunjoo Kim, Jinoh Kim, Sang C. Suh, Ikkyun Kim, Kuinam J. Kim
A survey of deep learning-based network anomaly detection. Clust. Comput. 22 (Suppl 1) (2019)
Ritesh K. Malaiya, Donghwoon Kwon, Sang C. Suh, Hyunjoo Kim, Ikkyun Kim, Jinoh Kim
An Empirical Evaluation of Deep Learning for Network Anomaly Detection. IEEE Access 7 (2019)
Jinoh Kim, Alex Sim
A New Approach to Multivariate Network Traffic Analysis. J. Comput. Sci. Technol. 34 (2) (2019)
Makiya Nakashima, Alex Sim, Youngsoo Kim, Jonghyun Kim, Jinoh Kim
An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection. CoRR (2019)
Jinhwan Choi, Yu Gu, Jinoh Kim
Learning-based Dynamic Cache Management in a Cloud. CoRR (2019)
Jinoh Kim, Alex Sim, Brian Tierney, Sang C. Suh, Ikkyun Kim
Multivariate network traffic analysis using clustered patterns. Computing 101 (4) (2019)
Jinoh Kim, Caitlin Sim, Jinhwan Choi
Generating Labeled Flow Data from MAWILab Traces for Network Intrusion Detection. SNTA@HPDC (2019)
Taejoon Kim, Yu Gu, Jinoh Kim
A Hybrid Cache Architecture for Meeting Per-Tenant Performance Goals in a Private Cloud. CoRR (2019)
Ritesh K. Malaiya, Donghwoon Kwon, Jinoh Kim, Sang C. Suh, Hyunjoo Kim, Ikkyun Kim
An Empirical Evaluation of Deep Learning for Network Anomaly Detection. ICNC (2018)
Donghwoon Kwon, Kathiravan Natarajan, Sang C. Suh, Hyunjoo Kim, Jinoh Kim
An Empirical Study on Network Anomaly Detection Using Convolutional Neural Networks. ICDCS (2018)
Taejoon Kim, Sang C. Suh, Hyunjoo Kim, Jonghyun Kim, Jinoh Kim
An Encoding Technique for CNN-based Network Anomaly Detection. IEEE BigData (2018)
Jinoh Kim, Caitlin Sim, Jinhwan Choi
Generating Labeled Flow Data from MAWILab Traces for Network Intrusion Detection. CoRR (2018)
Eric Chan-Tin, Taejoon Kim, Jinoh Kim
Website Fingerprinting Attack Mitigation Using Traffic Morphing. ICDCS (2018)
Sunhee Baek, Donghwoon Kwon, Jinoh Kim, Sang C. Suh, Hyunjoo Kim, Ikkyun Kim
Unsupervised Labeling for Supervised Anomaly Detection in Enterprise and Cloud Networks. CSCloud (2017)
Jinoh Kim, Alex Sim
A New Approach to Online, Multivariate Network Traffic Analysis. ICCCN (2017)
Jinoh Kim, Wucherl Yoo, Alex Sim, Sang C. Suh, Ikkyun Kim
A lightweight network anomaly detection technique. ICNC (2017)
Jinoh Kim, Alex Sim, Sang C. Suh, Ikkyun Kim
An approach to online network monitoring using clustered patterns. ICNC (2017)
Jerry Chi-Yuan Chou, Ting-Hsuan Lai, Jinoh Kim, Doron Rotem
Exploiting Replication for Energy-Aware Scheduling in Disk Storage Systems. IEEE Trans. Parallel Distributed Syst. 26 (10) (2015)
Jinoh Kim, Ilhwan Moon, Kyung-Il Lee, Sang C. Suh, Ikkyun Kim
Scalable Security Event Aggregation for Situation Analysis. BigDataService (2015)
Jinoh Kim, Bin Dong, Surendra Byna, Kesheng Wu
Security for the scientific data services framework. IEEE BigData (2015)
Anil Kumar, Jinoh Kim, Sang C. Suh, Ganho Choi
Incorporating multiple cluster models for network traffic classification. LCN (2015)
Seonho Kim, Jinoh Kim, Jon B. Weissman
A Security-enabled Grid System for MINDS Distributed Data Mining. J. Grid Comput. 12 (3) (2014)
Ilhwan Moon, Umar Albalawi, Jinoh Kim, Sang C. Suh, Wang-Hwan Lee
A Hybrid Classifier with a Binning Method for Network Application Identification. J. Integr. Des. Process. Sci. 18 (2) (2014)
Jinoh Kim, Jerry Chi-Yuan Chou, Doron Rotem
iPACS: Power-aware covering sets for energy proportionality and performance in data parallel computing clusters. J. Parallel Distributed Comput. 74 (1) (2014)
Justin Tharp, Jinoh Kim, Sang C. Suh, Hyeonkoo Cho
Reconciling Multiple Matches for the Signature-Based Application Identification. J. Commun. 8 (12) (2013)
Jinoh Kim, Doron Rotem
FREP: Energy proportionality for disk storage using replication. J. Parallel Distributed Comput. 72 (8) (2012)
Jinoh Kim, Hasan Abbasi, Luis Chacón, Ciprian Docan, Scott Klasky, Qing Liu, Norbert Podhorszki, Arie Shoshani, Kesheng Wu
Parallel in situ indexing for data-intensive computing. LDAV (2011)
Jinoh Kim, Doron Rotem
Energy proportionality for disk storage using replication. EDBT (2011)
Jerry Chi-Yuan Chou, Jinoh Kim, Doron Rotem
Energy-Aware Scheduling in Disk Storage Systems. ICDCS (2011)
Jinoh Kim, Abhishek Chandra, Jon B. Weissman
Passive Network Performance Estimation for Large-Scale, Data-Intensive Computing. IEEE Trans. Parallel Distributed Syst. 22 (8) (2011)
Jinoh Kim, Jerry Chi-Yuan Chou, Doron Rotem
Energy Proportionality and Performance in Data Parallel Computing Clusters. SSDBM (2011)
Jinoh Kim, Doron Rotem
Using Replication for Energy Conservation in RAID Systems. PDPTA (2010)
Jinoh Kim, Abhishek Chandra, Jon B. Weissman
Using Data Accessibility for Resource Selection in Large-Scale Distributed Systems. IEEE Trans. Parallel Distributed Syst. 20 (6) (2009)
Jinoh Kim, Abhishek Chandra, Jon B. Weissman
Accessibility-Based Resource Selection in Loosely-Coupled Distributed Systems. ICDCS (2008)
Jinoh Kim, Abhishek Chandra, Jon B. Weissman
Exploiting Heterogeneity for Collective Data Downloading in Volunteer-based Networks. CCGRID (2007)
Krishnaveni Budati, Jinoh Kim, Abhishek Chandra, Jon B. Weissman
NGS: Service Adaptation in Open Grid Platforms. IPDPS (2007)
Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric Eilertson, Levent Ertöz, György J. Simon, Seonho Kim, Jinoh Kim
DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing. International Conference on Computational Science (1) (2007)
Geonlyang Kim, Jinoh Kim, Jungchan Na
Design and Implementation of Policy Decision Point in Policy-Based Network. ACIS-ICIS (2005)
Geonlyang Kim, Jinoh Kim, Jungchan Na, Jongsoo Jang
Role-based policy distribution techniques in policy-based networks. Communications, Internet, and Information Technology (2004)
Jinoh Kim, Ikkyun Kim, Kiyoung Kim, Jongsoo Jang, Sung Won Sohn, Koohong Kang
An Integrated Network-Wide Defense Framework (INwDF) for Large Networks. Security and Management (2003)
Moon Sun Shin, Hosung Moon, Keun Ho Ryu, Kiyoung Kim, Jinoh Kim
Applying Data Mining Techniques to Analyze Alert Data. APWeb (2003)
Jinoh Kim, Kiyoung Kim, Jongsoo Jang
Policy-Based Intrusion Detection and Automated Response Mechanism. ICOIN (2) (2002)