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Ikkyun Kim

Observed names: Ik-Kyun KIM, Ik-Kyun Kim, Ik-kyun Kim, Ikkyun KIM, Kim Ikkyun, Kim, Ikkyun, Youngsoo Kim
ORCID: 0000-0001-8915-3270
Observed ORCID: 0000-0001-8915-3270
OpenAlex ID: A5084546292
A survey of deep learning-based network anomaly detection
2017 · Donghwoon Kwon, Hyunjoo Kim, et al. · Cluster Computing · 782
Cyber Threat Detection Based on Artificial Neural Networks Using Event Profiles
2019 · Jonghoon Lee, Jonghyun Kim, et al. · IEEE Access · 188
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DTB-IDS: an intrusion detection system based on decision tree using behavior analysis for preventing APT attacks
2015 · Daesung Moon, Hyungjin Im, et al. · The Journal of Supercomputing · 151
An Empirical Evaluation of Deep Learning for Network Anomaly Detection
2019 · Ritesh K. Malaiya, Donghwoon Kwon, et al. · IEEE Access · 91
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Network Traffic Analysis System Based on Data Engineering Methodology Using System Entity Structure
2007 · Taekyu Kim, Youngshin Han, et al. · 72
Improvement of malware detection and classification using API call sequence alignment and visualization
2017 · Hyunjoo Kim, Hyunjoo Kim, et al. · Cluster Computing · 65
An Empirical Evaluation of Deep Learning for Network Anomaly Detection
2018 · Ritesh K. Malaiya, Donghwoon Kwon, et al. · 2012 International Conference on Computing, Networking and Communications (ICNC) · 62
Design of network threat detection and classification based on machine learning on cloud computing
2018 · Hyunjoo Kim, Jonghyun Kim, et al. · Cluster Computing · 58
A Machine Learning Approach to Anomaly Detection Based on Traffic Monitoring for Secure Blockchain Networking
2022 · Jinoh Kim, Makiya Nakashima, et al. · IEEE Transactions on Network and Service Management · 56
Anomaly Detection based on Traffic Monitoring for Secure Blockchain Networking
2021 · Jinoh Kim, Makiya Nakashima, et al. · IEEE International Conference on Blockchain and Cryptocurrency (ICBC) · 53
PE File Header Analysis-Based Packed PE File Detection Technique (PHAD)
2008 · Yang-seo Choi, Ik-kyun Kim, et al. · 50
Host-based intrusion detection system for secure human-centric computing
2015 · Daesung Moon, Sung Bum Pan, et al. · The Journal of Supercomputing · 37
Unsupervised Labeling for Supervised Anomaly Detection in Enterprise and Cloud Networks
2017 · Sunhee Baek, Donghwoon Kwon, et al. · IEEE International Conference on Cyber Security and Cloud Computing (CSCloud) · 36
Practical Covert Wireless Unidirectional Communication in IEEE 802.11 Environment
2022 · Hayoung Seong, Ikkyun Kim, et al. · IEEE Internet of Things Journal · 24
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Evaluations of AI‐based malicious PowerShell detection with feature optimizations
2021 · Jihyeon Song, Jungtae Kim, et al. · ETRI Journal · 22
A semantic approach to improving machine readability of a large-scale attack graph
2018 · Jooyoung Lee, Daesung Moon, et al. · The Journal of Supercomputing · 22
Multivariate network traffic analysis using clustered patterns
2018 · Jinoh Kim, Alex Sim, et al. · Computing · 18
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Behavior-based anomaly detection on big data
2015 · Kim, Hyunjoo, Kim, Jonghyun, et al. · Australasian Journal of Paramedicine · 18
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Analysis of Cyber Attacks and Security Intelligence
2013 · Youngsoo Kim, Ikkyun Kim, et al. · Lecture notes in electrical engineering · 18
A study of the relationship of malware detection mechanisms using Artificial Intelligence
2024 · Jihyeon Song, Sunoh Choi, et al. · ICT Express · 17
Clustering-based label estimation for network anomaly detection
2020 · Sunhee Baek, Donghwoon Kwon, et al. · Digital Communications and Networks · 17
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AIGG Threshold Based HTTP GET Flooding Attack Detection
2012 · Yang-seo Choi, Ik-Kyun Kim, et al. · Lecture notes in computer science · 17
A case study of unknown attack detection against Zero-day worm in the honeynet environment
2009 · Ikkyun Kim, Daewon Kim, et al. · International Conference on Advanced Communication Technology · 13
Anomaly Intrusion Detection Based on Hyper-ellipsoid in the Kernel Feature Space
2015 · Hansung Lee, Daesung Moon, et al. · KSII Transactions on Internet and Information Systems · 12
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An approach to online network monitoring using clustered patterns
2017 · Jinoh Kim, Alex Sim, et al. · 2012 International Conference on Computing, Networking and Communications (ICNC) · 9
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Works count: 97
Citation count: 2,053
H-index: 18
I10-index: 24
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