논문
2022
An Approach to Applying Multiple Linear Regression Models by Interlacing Data in Classifying Similar Software
Hyun-il Lim
2020
A Study on Comparative Analysis of the Effect of Applying DropOut and DropConnect to Deep Neural Network
Hyun-il Lim
Applying Multiple Models to Improve the Accuracy of Prediction Results in Neural Networks
Hyun-il Lim
Detecting Similar Versions of Software by Learning with Logistic Regression on Binary Opcode Information
Hyun-il Lim
A Study on the Effect of DropConnect to Control Overfitting in Designing Neural Networks
Hyun-il Lim
2019
A Linear Regression Approach to Modeling Software Characteristics for Classifying Similar Software
Hyun-il Lim
2018
Applying Code Vectors for Presenting Software Features in Machine Learning
Hyun-il Lim
2015
An Approach to Tracing Information Flows of Untrustworthy Data in Programs
Hyun-il Lim
2013
Customizing k-Gram Based Birthmark through Partial Matching in Detecting Software Thefts
Hyun-il Lim
2012
Analyzing Stack Flows to Compare Java Programs
Hyun-il Lim, Taisook Han
2011
Detecting Common Modules in Java Packages Based on Static Object Trace Birthmark
Hyun-il Lim, Heewan Park, Seokwoo Choi, Taisook Han
2009
A method for detecting the theft of Java programs through analysis of the control flow information
Hyun-il Lim, Heewan Park, Seokwoo Choi, Taisook Han
A static API birthmark for Windows binary executables
Hyun-il Lim, Seokwoo Choi, Heewan Park, Taisook Han
A Static Java Birthmark Based on Control Flow Edges
Hyun-il Lim, Heewan Park, Seokwoo Choi, Taisook Han
2008
Detecting Theft of Java Applications via a Static Birthmark Based on Weighted Stack Patterns
Hyun-il Lim, Heewan Park, Seokwoo Choi, Taisook Han
Detecting Java Theft Based on Static API Trace Birthmark
Hyun-il Lim, Heewan Park, Seokwoo Choi, Taisook Han