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ScienceIoT: Evolution of the Wireless Infrastructure of KREONET

Sensors (Basel, Switzerland), 2021-08, Vol.21 (17), p.5852

2021

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Clustering method in protocol reverse engineering for industrial protocols

International journal of network management, 2020-11, Vol.30 (6), p.n/a

2020

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A Survey of Automatic Protocol Reverse Engineering Approaches, Methods, and Tools on the Inputs and Outputs View

Security and communication networks, 2018-01, Vol.2018, p.1-17

2018

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Protocol Specification Extraction Based on Contiguous Sequential Pattern Algorithm

IEEE access, 2019, Vol.7, p.36057-36074

2019

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A message keyword extraction approach by accurate identification of field boundaries

International journal of network management, 2021-07, Vol.31 (4)

2021

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Two-Pathway Model for Enhancement of Protocol Reverse Engineering

KSII Transactions on Internet and Information Systems, 2020, 14(11), , pp.4310-4330

2020

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Flow based Sequential Grouping System for Malicious Traffic Detection

KSII Transactions on Internet and Information Systems, 2021, 15(10), , pp.3771-3792

2021

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Two-Pathway Model for Enhancement of Protocol Reverse Engineering

KSII transactions on Internet and information systems, 2020-11, Vol.14 (11), p.4310-4330

2020

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Flow based Sequential Grouping System for Malicious Traffic Detection

KSII transactions on Internet and information systems, 2021-10, Vol.15 (10), p.3771-3792

2021

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Automatic Payload Signature Update System for the Classification of Dynamically Changing Internet Applications

KSII transactions on Internet and information systems, 2019-03, Vol.13 (3), p.1284-1297

2019

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Inference of network unknown protocol structure using CSP(Contiguous Sequence Pattern) algorithm based on tree structure

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium, 2018, p.1-4

2018

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Automatic Payload Signature Update System for the Classification of Dynamically Changing Internet Applications

KSII Transactions on Internet and Information Systems, 2019, 13(3), , pp.1284-1297

2019

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Framework for precise protocol reverse engineering based on network traces

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium, 2018, p.1-4

2018

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Network attack traffic detection using seed based sequential grouping model

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium, 2018, p.1-4

2018

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Survey on network protocol reverse engineering approaches, methods and tools

2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS), 2017, p.271-274

2017

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SigManager: Automatic payload signature management system for the classification of dynamically changing internet applications

2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS), 2017, p.350-353

2017

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A traffic grouping method using the correlation model of network flow

2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS), 2017, p.386-390

2017

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Sky-Scope : Skype application traffic identification system

2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS), 2017, p.259-262

2017

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A method for service identification of SSL/TLS encrypted traffic with the relation of session ID and Server IP

2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS), 2015, p.487-490

2015

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Automatic Reverse Engineering Method for Extracting Well-trimmed Protocol Specification

Proceedings of the 2nd International Conference on Telecommunications and Communication Engineering, 2018, p.16-21

2018

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An Automatic Protocol Reverse Engineering Approach from the Viewpoint of the TCP/IP Reference Model

2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS), 2020, p.43-48

2020

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The Method of Clustering Network Traffic Classifications for Extracting Payload Signature by Function

2018 International Conference on Information and Communication Technology Convergence (ICTC), 2018, p.1335-1337

2018

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Best Feature Selection using Correlation Analysis for Prediction of Bitcoin Transaction Count

2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS), 2019, p.1-6

2019

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A Study on the Method to Extract Clear Fields From the Private Protocol

2018 International Conference on Information and Communication Technology Convergence (ICTC), 2018, p.1397-1402

2018

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A Method for Extracting Static Fields in Private Protocol Using Entropy and Statistical Analysis

2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS), 2019, p.1-6

2019

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ScienceIoT: Evolution of the Wireless Infrastructure of KREONET

Clustering method in protocol reverse engineering for industrial protocols

A Survey of Automatic Protocol Reverse Engineering Approaches, Methods, and Tools on the Inputs and Outputs View

Protocol Specification Extraction Based on Contiguous Sequential Pattern Algorithm

A message keyword extraction approach by accurate identification of field boundaries

Two-Pathway Model for Enhancement of Protocol Reverse Engineering

Flow based Sequential Grouping System for Malicious Traffic Detection

Two-Pathway Model for Enhancement of Protocol Reverse Engineering

Flow based Sequential Grouping System for Malicious Traffic Detection

Automatic Payload Signature Update System for the Classification of Dynamically Changing Internet Applications

Inference of network unknown protocol structure using CSP(Contiguous Sequence Pattern) algorithm based on tree structure

Automatic Payload Signature Update System for the Classification of Dynamically Changing Internet Applications

Framework for precise protocol reverse engineering based on network traces

Network attack traffic detection using seed based sequential grouping model

Survey on network protocol reverse engineering approaches, methods and tools

SigManager: Automatic payload signature management system for the classification of dynamically changing internet applications

A traffic grouping method using the correlation model of network flow

Sky-Scope : Skype application traffic identification system

A method for service identification of SSL/TLS encrypted traffic with the relation of session ID and Server IP

Automatic Reverse Engineering Method for Extracting Well-trimmed Protocol Specification

An Automatic Protocol Reverse Engineering Approach from the Viewpoint of the TCP/IP Reference Model

The Method of Clustering Network Traffic Classifications for Extracting Payload Signature by Function

Best Feature Selection using Correlation Analysis for Prediction of Bitcoin Transaction Count

A Study on the Method to Extract Clear Fields From the Private Protocol

A Method for Extracting Static Fields in Private Protocol Using Entropy and Statistical Analysis

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