Jungsuk SONG


An Advanced Incident Response Methodology Based on Correlation Analysis of Polymorphic Security Events
Haeng-Gon LEE Jungsuk SONG Sang-Soo CHOI Gi-Hwan CHO 
Publication:   IEICE TRANSACTIONS on Communications
Publication Date: 2013/07/01
Vol. E96-B  No. 7  pp. 1803-1813
Type of Manuscript:  PAPER
Category: Fundamental Theories for Communications
Keyword: 
incident responsepolymorphic security eventscorrelation analysis
 Summary | Full Text:PDF(3.5MB)

A Novel Malware Clustering Method Using Frequency of Function Call Traces in Parallel Threads
Junji NAKAZATO Jungsuk SONG Masashi ETO Daisuke INOUE Koji NAKAO 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2011/11/01
Vol. E94-D  No. 11  pp. 2150-2158
Type of Manuscript:  Special Section PAPER (Special Section on Information and Communication System Security)
Category: 
Keyword: 
malware analysisbehavior of malwareclustering
 Summary | Full Text:PDF(944.4KB)

An Empirical Evaluation of an Unpacking Method Implemented with Dynamic Binary Instrumentation
Hyung Chan KIM Tatsunori ORII Katsunari YOSHIOKA Daisuke INOUE Jungsuk SONG Masashi ETO Junji SHIKATA Tsutomu MATSUMOTO Koji NAKAO 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2011/09/01
Vol. E94-D  No. 9  pp. 1778-1791
Type of Manuscript:  PAPER
Category: Information Network
Keyword: 
software securitydynamic binary instrumentationunpackingmalwarebinary analysis
 Summary | Full Text:PDF(951.3KB)

O-means: An Optimized Clustering Method for Analyzing Spam Based Attacks
Jungsuk SONG Daisuke INOUE Masashi ETO Hyung Chan KIM Koji NAKAO 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2011/01/01
Vol. E94-A  No. 1  pp. 245-254
Type of Manuscript:  Special Section PAPER (Special Section on Cryptography and Information Security)
Category: Network Security
Keyword: 
spamclusteringfeatureK-means clustering method
 Summary | Full Text:PDF(1023.4KB)

A Comparative Study of Unsupervised Anomaly Detection Techniques Using Honeypot Data
Jungsuk SONG Hiroki TAKAKURA Yasuo OKABE Daisuke INOUE Masashi ETO Koji NAKAO 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2010/09/01
Vol. E93-D  No. 9  pp. 2544-2554
Type of Manuscript:  PAPER
Category: Information Network
Keyword: 
intrusion detection systemunsupervised machine learning techniquesreal traffic datavarious evaluation criteria
 Summary | Full Text:PDF(1.2MB)

Unsupervised Anomaly Detection Based on Clustering and Multiple One-Class SVM
Jungsuk SONG Hiroki TAKAKURA Yasuo OKABE Yongjin KWON 
Publication:   IEICE TRANSACTIONS on Communications
Publication Date: 2009/06/01
Vol. E92-B  No. 6  pp. 1981-1990
Type of Manuscript:  PAPER
Category: Fundamental Theories for Communications
Keyword: 
intrusion detection systemclusteringone-class SVManomaly detection
 Summary | Full Text:PDF(456.5KB)

A Clustering Method for Improving Performance of Anomaly-Based Intrusion Detection System
Jungsuk SONG Kenji OHIRA Hiroki TAKAKURA Yasuo OKABE Yongjin KWON 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2008/05/01
Vol. E91-D  No. 5  pp. 1282-1291
Type of Manuscript:  Special Section PAPER (Special Section on Information and Communication System Security)
Category: Network Security
Keyword: 
intrusion detection systemclusteringdetection ratefalse positive rate
 Summary | Full Text:PDF(470.3KB)