JICS

1. Bidirectional LSTM based light-weighted malware detection modelusing Windows PE format binary data

Kwang-Yun PARK, Soo-Jin LEE, Vol. 23, No. 1, pp. 87-93, Feb. 2022

10.7472/jksii.2022.23.1.87
Keywords: Bidirectional LSTM, Windows PE malware, Detection, EMBER2018

2. A Study on Classification of Variant Malware Family Based on ResNet-Variational AutoEncoder

Young-jeon Lee, Myung-Mook Han, Vol. 22, No. 2, pp. 1-9, Apr. 2021

10.7472/jksii.2021.22.2.1
Keywords: Variant Malware, Malware classification, Variational AutoEncoder, Tranfer Learning, Ensemble learning

3. The attacker group feature extraction framework : Authorship Clustering based on Genetic Algorithm for Malware Authorship Group Identification

Gun-Yoon Shin, Dong-Wook Kim, Myung-Mook Han, Vol. 21, No. 2, pp. 1-8, Apr. 2020

10.7472/jksii.2020.21.2.1
Keywords: Authorship Attribution, Attacker Group, genetic algorithm, Malware, Authorship Clustering

4. Research on text mining based malware analysis technology using string information

Ji-hee Ha, Tae-jin Lee, Vol. 21, No. 1, pp. 45-55, Feb. 2020

10.7472/jksii.2020.21.1.45
Keywords: Malware, Malware analysis, String, Text Mining, TFIDF

5. Automatic Malware Detection Rule Generation and Verification System

Sungho Kim, Suchul Lee, Vol. 20, No. 2, pp. 9-19, Apr. 2019

10.7472/jksii.2019.20.2.9
Keywords: Malware, Detection rule, SNORT, LDA, network threat

6. Study on High-speed Cyber Penetration Attack Analysis Technology based on Static Feature Base Applicable to Endpoints

Jun-ho Hwang, Seon-bin Hwang, Su-jeong Kim, Tae-jin Lee, Vol. 19, No. 5, pp. 21-31, Oct. 2018

10.7472/jksii.2018.19.5.21
Keywords: Malware, Static Analysis, deep neural network

7. An automatic detection scheme of anti-debugging routines to the environment for analysis

Jin-Woo Park, Yong-Su Park, Vol. 15, No. 6, pp. 47-54, Dec. 2014

10.7472/jksii.2014.15.6.47
Keywords: Anti-debugging, Malware, Instruction trace, API trace, Anti-reversing, Anti-reverse Engineering