Ikkyun Kim - Concepedia

Author

Ikkyun Kim

Electronics and Telecommunications Research Institute ORCID

Also Known As

Ik-Kyun KIM, Ik-Kyun Kim, Ik-kyun Kim, Ikkyun KIM, Ikkyun Kim, Kim, Ikkyun

Publications

Citations

H-Index

Concepts

All Affiliations

Electronics and Telecommunications Research Institute East Texas A&M University Korea University of Science and Technology Kyonggi University University of Colorado Colorado Springs

About

Ikkyun Kim is an author at Electronics and Telecommunications Research Institute specializing in engineering, computer science, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	16	17	1.7K
2	Computer Science	13	14	1.5K
3	Data Science	9	9	1.2K
4	Computer Engineering	3	3	122
5	Management	1	1	72

Ikkyun Kim

Publications

1.8K

Citations

H-Index

Page 1

	Year	Citations
A survey of deep learning-based network anomaly detection Donghwoon Kwon, Hyunjoo Kim, Jinoh Kim, Cluster Computing Anomaly DetectionMachine LearningData ScienceEngineeringOutlier Detection	2017	754
Cyber Threat Detection Based on Artificial Neural Networks Using Event Profiles Jonghoon Lee, Jonghyun Kim, Ikkyun Kim, IEEE Access Artificial IntelligenceEngineeringMachine LearningAi FoundationConventional Machine-learning Methods	2019	175
DTB-IDS: an intrusion detection system based on decision tree using behavior analysis for preventing APT attacks Daesung Moon, Hyungjin Im, Ikkyun Kim, The Journal of Supercomputing Hardware SecurityDdos DetectionEngineeringData MiningInformation Security	2015	153
An Empirical Evaluation of Deep Learning for Network Anomaly Detection Ritesh K. Malaiya, Donghwoon Kwon, Sang C. Suh, IEEE Access Convolutional Neural NetworkAnomaly DetectionMachine LearningEngineeringAutoencoders	2019	85
Network Traffic Analysis System Based on Data Engineering Methodology Using System Entity Structure Taekyu Kim, Youngshin Han, Saehoon Cheon, 2007 International Conference on Convergence Information Technology (ICCIT 2007) Internet Traffic AnalysisEngineeringNetwork AnalysisSoftware EngineeringSemantic Web	2007	72
Improvement of malware detection and classification using API call sequence alignment and visualization Hyunjoo Kim, Jonghyun Kim, Youngsoo Kim, Cluster Computing EngineeringEvasion TechniqueProgram AnalysisThreat DetectionAnti-virus Technique	2017	63
An Empirical Evaluation of Deep Learning for Network Anomaly Detection Ritesh K. Malaiya, Donghwoon Kwon, Jin Oh Kim, 2018 International Conference on Computing, Networking and Communications (ICNC)	2018	61
Design of network threat detection and classification based on machine learning on cloud computing Hyunjoo Kim, Jonghyun Kim, Youngsoo Kim, Cluster Computing Ddos DetectionEngineeringNetwork Threat DetectionThreat (Computer)Intrusion Detection System	2018	58
Anomaly Detection based on Traffic Monitoring for Secure Blockchain Networking Jinoh Kim, Makiya Nakashima, Wenjun Fan, 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC) Ddos DetectionAnomaly DetectionEngineeringData ScienceData Mining	2021	49
PE File Header Analysis-Based Packed PE File Detection Technique (PHAD) Yangseo Choi, Ikkyun Kim, Jintae Oh, Hardware SecuritySoftware SecurityEngineeringEvasion TechniqueInformation Security	2008	46

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