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Jinoh Kim
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2020 – today
- 2024
- [j28]Robin Frehner
, Kesheng Wu
Detecting Anomalies in Time Series Using Kernel Density Approaches. IEEE Access 12: 33420-33439 (2024) - [j27]Sang-Yoon Chang
Base station gateway to secure user channel access at the first hop edge. Comput. Networks 240: 110165 (2024) - [c57]Sourav Purification, Simeon Wuthier, Jinoh Kim, Jonghyun Kim, Sang-Yoon Chang:
Fake Base Station Detection and Blacklisting. ICCCN 2024: 1-9 - [c56]Mincheol Shin, Sang-Yoon Chang, Jonghyun Kim, Kyungmin Park, Jinoh Kim:
Intelligent Trajectory-based Approach to UAV Location Integrity Checks. ICCCN 2024: 1-9 - [c55]Amanul Islam, Sang-Yoon Chang, Jinoh Kim, Jonghyun Kim:
Anomaly Detection in 5G using Variational Autoencoders. SVCC 2024: 1-6 - [c54]Qaiser Khan, Sourav Purification, Rono Cheruiyot, Jinoh Kim, Jonghyun Kim, Sang-Yoon Chang:
Toward Post-Quantum Digital Certificate for eSIM. SVCC 2024: 1-3 - [c53]Sourav Purification, Kyungmin Park, Jinoh Kim, Jonghyun Kim, Sang-Yoon Chang:
Wireless Link Routing to Secure Against Fake Base Station in 5G. SVCC 2024: 1-3 - 2023
- [j26]Chiho Kim, Sang-Yoon Chang
Reliable Detection of Location Spoofing and Variation Attacks. IEEE Access 11: 10813-10825 (2023) - [j25]Sang-Yoon Chang
Securing UAV Flying Base Station for Mobile Networking: A Review. Future Internet 15(5): 176 (2023) - [j24]Robin Shao, Alex Sim
Leveraging History to Predict Infrequent Abnormal Transfers in Distributed Workflows. Sensors 23(12): 5485 (2023) - [j23]Wenjun Fan
Lightweight and Identifier-Oblivious Engine for Cryptocurrency Networking Anomaly Detection. IEEE Trans. Dependable Secur. Comput. 20(2): 1302-1318 (2023) - [j22]Chiho Kim, Sang-Yoon Chang
Automated, Reliable Zero-Day Malware Detection Based on Autoencoding Architecture. IEEE Trans. Netw. Serv. Manag. 20(3): 3900-3914 (2023) - [c52]Arijet Sarker, Simeon Wuthier
Version++: Cryptocurrency Blockchain Handshaking With Software Assurance. CCNC 2023: 804-809 - [c51]Arijet Sarker, Simeon Wuthier
Version++ Protocol Demonstration for Cryptocurrency Blockchain Handshaking with Software Assurance. CCNC 2023: 915-916 - [c50]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: 3-8 - [c49]Donghwoon Kwon
Evaluating Unbalanced Network Data for Attack Detection. SNTA@HPDC 2023: 23-26 - [c48]Chiho Kim, Sang-Yoon Chang, Jonghyun Kim, Jinoh Kim:
An Empirical Evaluation of Autoencoding-Based Location Spoofing Detection. ICMLA 2023: 574-579 - [e5]Massimo Cafaro, Eric Chan-Tin, Jerry Chou, Jinoh Kim:
Proceedings of the 2023 on Systems and Network Telemetry and Analytics, SNTA 2023, Orlando, FL, USA, 20 June 2023. ACM 2023 [contents] - 2022
- [j21]Hsiang-Jen Hong
Robust P2P networking connectivity estimation engine for permissionless Bitcoin cryptocurrency. Comput. Networks 219: 109436 (2022) - [j20]Brett Weinger
Enhancing IoT anomaly detection performance for federated learning. Digit. Commun. Networks 8(3): 314-323 (2022) - [j19]Luca Vassio
Message from the Chairs of the WAIN workshop 2021. SIGMETRICS Perform. Evaluation Rev. 49(4): 92 (2022) - [j18]Jinoh Kim
A Machine Learning Approach to Anomaly Detection Based on Traffic Monitoring for Secure Blockchain Networking. IEEE Trans. Netw. Serv. Manag. 19(3): 3619-3632 (2022) - [c47]Robin Shao, Jinoh Kim, Alex Sim
Predicting Slow Network Transfers in Scientific Computing. SNTA@HPDC 2022: 13-20 - [c46]Jinoh Kim, Massimo Cafaro, Jerry Chou, Alex Sim
SNTA'22: The 5th Workshop on Systems and Network Telemetry and Analytics. HPDC 2022: 296-297 - [c45]Minji Kim, Dongeun Lee, Kookjin Lee, Doowon Kim
Deep Sequence Models for Packet Stream Analysis and Early Decisions. LCN 2022: 56-63 - [c44]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: 107-119 - [c43]Theo Gamboni-Diehl, Simeon Wuthier, Jinoh Kim, Jonghyun Kim, Sang-Yoon Chang:
Lightweight Code Assurance Proof for Wireless Software. WISEC 2022: 285-287 - [e4]Massimo Cafaro, Jerry Chou, Jinoh Kim, Alex Sim:
SNTA@HPDC 2022, Fifth International Workshop on Systems and Network Telemetry and Analytics, Minneapolis, MN, USA, 30 June 2022. ACM 2022, ISBN 978-1-4503-9315-7 [contents] - [d1]Sehan Samarakoon, Yushan Siriwardhana
5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network. IEEE DataPort, 2022 - [i7]Sehan Samarakoon, Yushan Siriwardhana, Pawani Porambage, Madhusanka Liyanage
5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network. CoRR abs/2212.01298 (2022) - 2021
- [j17]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): 37-44 (2021) - [j16]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): 13-30 (2021) - [j15]Makiya Nakashima, Alex Sim
Automated Feature Selection for Anomaly Detection in Network Traffic Data. ACM Trans. Manag. Inf. Syst. 12(3): 18:1-18:28 (2021) - [c42]Chiho Kim, Sang-Yoon Chang, Jonghyun Kim, Dongeun Lee, Jinoh Kim:
Zero-day Malware Detection using Threshold-free Autoencoding Architecture. IEEE BigData 2021: 1279-1284 - [c41]Wenjun Fan, Jinoh Kim, Ikkyun Kim, Xiaobo Zhou, Sang-Yoon Chang:
Performance Analyses for Applying Machine Learning on Bitcoin Miners. ICEIC 2021: 1-4 - [c40]Hun-Jeong Kang, Christopher Kallas, Myung-Hwan Park, Jinoh Kim:
A Scalable Learning Model for Multi-seasonal Time Series Forecasting. ICEIC 2021: 1-4 - [c39]Jinoh Kim, Makiya Nakashima, Wenjun Fan, Simeon Wuthier
Anomaly Detection based on Traffic Monitoring for Secure Blockchain Networking. IEEE ICBC 2021: 1-9 - [c38]Hsiang-Jen Hong, Wenjun Fan, Simeon Wuthier
Robust P2P Connectivity Estimation for Permissionless Bitcoin Network. IWQoS 2021: 1-6 - [c37]Jinoh Kim, Makiya Nakashima, Wenjun Fan, Simeon Wuthier
A Machine Learning Approach to Peer Connectivity Estimation for Reliable Blockchain Networking. LCN 2021: 319-322 - [c36]Manohar Raavi
Towards Securing Availability in 5G: Analyzing the Injection Attack Impact on Core Network. SVCC 2021: 143-154 - [e3]Massimo Cafaro, Jinoh Kim, Alex Sim:
SNTA@HPDC 2021: Proceedings of the 2021 on Systems and Network Telemetry and Analytics, Virtual Event, Sweden, 21 June, 2021. ACM 2021, ISBN 978-1-4503-8386-8 [contents] - [i6]Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm:
Improving Botnet Detection with Recurrent Neural Network and Transfer Learning. CoRR abs/2104.12602 (2021) - 2020
- [j14]Jinhwan Choi
Learning-based dynamic cache management in a cloud. J. Parallel Distributed Comput. 145: 98-110 (2020) - [c35]Jeeyung Kim, Alex Sim
Botnet Detection Using Recurrent Variational Autoencoder. GLOBECOM 2020: 1-6 - [c34]Jeeyung Kim, Alex Sim
Transfer Learning Approach for Botnet Detection Based on Recurrent Variational Autoencoder. SNTA@HPDC 2020: 41-47 - [c33]Makiya Nakashima, Alex Sim
Evaluation of Deep Learning Models for Network Performance Prediction for Scientific Facilities. SNTA@HPDC 2020: 53-56 - [c32]Mohammad Al Olaimat
A Learning-based Data Augmentation for Network Anomaly Detection. ICCCN 2020: 1-10 - [c31]Taejoon Kim, Yu Gu, Jinoh Kim:
QoS-enabled Cache Architecture for a Private Cloud. ICNC 2020: 434-439 - [c30]Brett Weinger, Jinoh Kim, Alex Sim
Enhancing IoT Anomaly Detection Performance for Federated Learning. MSN 2020: 206-213 - [e2]Massimo Cafaro, Jinoh Kim, Alex Sim:
Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, SNTA@HPDC 2020, Stockholm, Sweden, June 23, 2020. ACM 2020, ISBN 978-1-4503-7980-9 [contents] - [i5]Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu:
Botnet Detection Using Recurrent Variational Autoencoder. CoRR abs/2004.00234 (2020)
2010 – 2019
- 2019
- [j13]Ritesh K. Malaiya
An Empirical Evaluation of Deep Learning for Network Anomaly Detection. IEEE Access 7: 140806-140817 (2019) - [j12]Donghwoon Kwon, Hyunjoo Kim
A survey of deep learning-based network anomaly detection. Clust. Comput. 22(Suppl 1): 949-961 (2019) - [j11]Jinoh Kim
Multivariate network traffic analysis using clustered patterns. Computing 101(4): 339-361 (2019) - [j10]Justin Tharp, Sang C. Suh, Hyeonkoo Cho, Jinoh Kim:
Improving signature quality for network application identification. Digit. Commun. Networks 5(3): 139-146 (2019) - [j9]Jinoh Kim, Alex Sim
A New Approach to Multivariate Network Traffic Analysis. J. Comput. Sci. Technol. 34(2): 388-402 (2019) - [c29]Burak Cetin, Alina Lazar, Jinoh Kim, Alex Sim
Federated Wireless Network Intrusion Detection. IEEE BigData 2019: 6004-6006 - [c28]Jinoh Kim:
Session details: Keynote Speech. SNTA@HPDC 2019 - [c27]Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim
Automatic Detection of Network Traffic Anomalies and Changes. SNTA@HPDC 2019: 3-10 - [c26]Jinoh Kim, Caitlin Sim, Jinhwan Choi:
Generating Labeled Flow Data from MAWILab Traces for Network Intrusion Detection. SNTA@HPDC 2019: 45-48 - [e1]Jinoh Kim, Alex Sim:
Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, SNTA@HPDC 2019, Phoenix, AZ, USA, June 25, 2019. ACM 2019, ISBN 978-1-4503-6761-5 [contents] - [i4]Jinhwan Choi, Yu Gu, Jinoh Kim:
Learning-based Dynamic Cache Management in a Cloud. CoRR abs/1902.00795 (2019) - [i3]Taejoon Kim, Yu Gu, Jinoh Kim:
A Hybrid Cache Architecture for Meeting Per-Tenant Performance Goals in a Private Cloud. CoRR abs/1906.01260 (2019) - [i2]Makiya Nakashima, Alex Sim, Youngsoo Kim, Jonghyun Kim, Jinoh Kim:
An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection. CoRR abs/1910.12806 (2019) - 2018
- [c25]Taejoon Kim, Sang C. Suh, Hyunjoo Kim, Jonghyun Kim, Jinoh Kim:
An Encoding Technique for CNN-based Network Anomaly Detection. IEEE BigData 2018: 2960-2965 - [c24]Ritesh K. Malaiya
An Empirical Evaluation of Deep Learning for Network Anomaly Detection. ICNC 2018: 893-898 - [c23]Eric Chan-Tin, Taejoon Kim, Jinoh Kim:
Website Fingerprinting Attack Mitigation Using Traffic Morphing. ICDCS 2018: 1575-1578 - [c22]Donghwoon Kwon, Kathiravan Natarajan, Sang C. Suh, Hyunjoo Kim, Jinoh Kim:
An Empirical Study on Network Anomaly Detection Using Convolutional Neural Networks. ICDCS 2018: 1595-1598 - [i1]Jinoh Kim, Caitlin Sim, Jinhwan Choi:
Generating Labeled Flow Data from MAWILab Traces for Network Intrusion Detection. CoRR abs/1810.01945 (2018) - 2017
- [c21]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: 205-210 - [c20]Jinoh Kim, Alex Sim
A New Approach to Online, Multivariate Network Traffic Analysis. ICCCN 2017: 1-6 - [c19]Jinoh Kim, Alex Sim
An approach to online network monitoring using clustered patterns. ICNC 2017: 656-661 - [c18]Jinoh Kim, Wucherl Yoo, Alex Sim
A lightweight network anomaly detection technique. ICNC 2017: 896-900 - 2015
- [j8]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): 2734-2749 (2015) - [c17]Jinoh Kim, Bin Dong, Surendra Byna
Security for the scientific data services framework. IEEE BigData 2015: 1871-1875 - [c16]Jinoh Kim, Ilhwan Moon, Kyung-Il Lee, Sang C. Suh, Ikkyun Kim:
Scalable Security Event Aggregation for Situation Analysis. BigDataService 2015: 14-23 - [c15]Anil Kumar, Jinoh Kim, Sang C. Suh, Ganho Choi:
Incorporating multiple cluster models for network traffic classification. LCN 2015: 185-188 - 2014
- [j7]Seonho Kim, Jinoh Kim, Jon B. Weissman:
A Security-enabled Grid System for MINDS Distributed Data Mining. J. Grid Comput. 12(3): 521-542 (2014) - [j6]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): 3-22 (2014) - [j5]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): 1762-1774 (2014) - 2013
- [j4]Justin Tharp, Jinoh Kim, Sang C. Suh, Hyeonkoo Cho:
Reconciling Multiple Matches for the Signature-Based Application Identification. J. Commun. 8(12): 883-892 (2013) - 2012
- [j3]Jinoh Kim, Doron Rotem:
FREP: Energy proportionality for disk storage using replication. J. Parallel Distributed Comput. 72(8): 960-974 (2012) - [r1]Jerry Chi-Yuan Chou, Jinoh Kim, Doron Rotem:
Energy-Saving Techniques for Disk Storage Systems. Handbook of Energy-Aware and Green Computing 2012: 147-167 - 2011
- [j2]Jinoh Kim, Abhishek Chandra, Jon B. Weissman:
Passive Network Performance Estimation for Large-Scale, Data-Intensive Computing. IEEE Trans. Parallel Distributed Syst. 22(8): 1365-1373 (2011) - [c14]Jinoh Kim, Doron Rotem:
Energy proportionality for disk storage using replication. EDBT 2011: 81-92 - [c13]Jerry Chi-Yuan Chou, Jinoh Kim, Doron Rotem:
Energy-Aware Scheduling in Disk Storage Systems. ICDCS 2011: 423-433 - [c12]Jinoh Kim, Hasan Abbasi, Luis Chacón
Parallel in situ indexing for data-intensive computing. LDAV 2011: 65-72 - [c11]Jinoh Kim, Jerry Chi-Yuan Chou, Doron Rotem:
Energy Proportionality and Performance in Data Parallel Computing Clusters. SSDBM 2011: 414-431 - 2010
- [c10]Jinoh Kim, Doron Rotem:
Using Replication for Energy Conservation in RAID Systems. PDPTA 2010: 703-709
2000 – 2009
- 2009
- [j1]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): 788-801 (2009) - 2008
- [c9]Jinoh Kim, Abhishek Chandra, Jon B. Weissman:
Accessibility-Based Resource Selection in Loosely-Coupled Distributed Systems. ICDCS 2008: 777-784 - 2007
- [c8]Jinoh Kim, Abhishek Chandra, Jon B. Weissman:
Exploiting Heterogeneity for Collective Data Downloading in Volunteer-based Networks. CCGRID 2007: 275-282 - [c7]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: 1222-1229 - [c6]Krishnaveni Budati, Jinoh Kim, Abhishek Chandra, Jon B. Weissman:
NGS: Service Adaptation in Open Grid Platforms. IPDPS 2007: 1-8 - 2005
- [c5]Geonlyang Kim, Jinoh Kim, Jungchan Na:
Design and Implementation of Policy Decision Point in Policy-Based Network. ACIS-ICIS 2005: 534-538 - 2004
- [c4]Geonlyang Kim, Jinoh Kim, Jungchan Na, Jongsoo Jang:
Role-based policy distribution techniques in policy-based networks. Communications, Internet, and Information Technology 2004: 103-107 - 2003
- [c3]Moon Sun Shin, Hosung Moon, Keun Ho Ryu, Kiyoung Kim, Jinoh Kim:
Applying Data Mining Techniques to Analyze Alert Data. APWeb 2003: 193-200 - [c2]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: 20-26 - 2002
- [c1]Jinoh Kim, Kiyoung Kim, Jongsoo Jang:
Policy-Based Intrusion Detection and Automated Response Mechanism. ICOIN (2) 2002: 399-408
Coauthor Index
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last updated on 2024-10-21 20:30 CEST by the dblp team
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