Dongil Shin

Professor

Sejong University

South Korea

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About

Professor Dongil Shin is a faculty member at Sejong University in South Korea. His research interests include network anomaly detection, machine learning applications in cybersecurity, and the use of intelligent systems for sustainability in agriculture. Recent publications highlight his work on detecting attacks in network packets and developing machine learning methods for health monitoring and plant disease recognition.

Articles (10)

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2025

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2025

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2024

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2023

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2023

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2023

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2023

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2021

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2021

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2021

Collaborators (1)

Dongkyoo Shin

Sejong University

SOUTH KOREA

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Dongil Shin

Research Interests

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About

Articles (10)

A Continual Learning Process to Detect Both Previously Learned and Newly Emerging Attack

Unsupervised Machine Learning Methods for Anomaly Detection in Network Packets

A Study on Network Anomaly Detection Using Fast Persistent Contrastive Divergence

BGP Dataset-Based Malicious User Activity Detection Using Machine Learning

Detecting Abnormal Behaviors in Dementia Patients Using Lifelog Data: A Machine Learning Approach

Data Augmentation Method for Plant Leaf Disease Recognition

Enhancement for Greenhouse Sustainability Using Tomato Disease Image Classification System Based on Intelligent Complex Controller

Host-Based Intrusion Detection Model Using Siamese Network

Network Anomaly Detection Using Memory-Augmented Deep Autoencoder

Study on Network Intrusion Detection Method Using Discrete Pre-Processing Method and Convolution Neural Network

Collaborators (1)

Dongkyoo Shin

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