Name
Affiliation
Papers
KYU-SEOK SHIM
Korea Univ, Dept Comp & Informat Sci, Sejong, South Korea
22
Collaborators
Citations 
PageRank 
33
7
7.72
Referers 
Referees 
References 
24
229
94
Search Limit
100229
Title
Citations
PageRank
Year
A message keyword extraction approach by accurate identification of field boundaries00.342021
Enhance The Ics Network Security Using The Whitelist-Based Network Monitoring Through Protocol Analysis00.342021
An Automatic Protocol Reverse Engineering Approach from the Viewpoint of the TCP/IP Reference Model00.342020
A Method for Extracting Static Fields in Private Protocol Using Entropy and Statistical Analysis00.342019
Protocol Specification Extraction Based on Contiguous Sequential Pattern Algorithm.00.342019
Block Analysis in Bitcoin System Using Clustering with Dimension Reduction00.342019
Automatic Payload Signature Update System for the Classification of Dynamically Changing Internet Applications.00.342019
Effective Behavior Signature Extraction Method Using Sequence Pattern Algorithm For Traffic Identification00.342018
Inference of network unknown protocol structure using CSP(Contiguous Sequence Pattern) algorithm based on tree structure.00.342018
Framework for precise protocol reverse engineering based on network traces.00.342018
Automatic Payload Signature Generation for Accurate Identification of Internet Applications and Application Services.00.342018
A Survey of Automatic Protocol Reverse Engineering Approaches, Methods, and Tools on the Inputs and Outputs View.20.442018
Application Traffic Classification Using Payload Size Sequence Signature30.392017
SigManager: Automatic payload signature management system for the classification of dynamically changing internet applications.00.342017
Survey on network protocol reverse engineering approaches, methods and tools.00.342017
Structured whitelist generation in SCADA network using PrefixSpan algorithm.00.342017
SigBox: Automatic Signature Generation Method for Fine-grained Traffic Identification.00.342017
Classification of application traffic using tensorflow machine learning.00.342017
Payload signature structure for accurate application traffic classification.20.472016
Framework for multi-level application traffic identification00.342015
Signature management system to cope with traffic changes in application and service00.342015
Application traffic classification in Hadoop distributed computing environment00.342014