이와모토카즈키의 자원

English Japanese Chinese(Simplified) Chinese(Traditional)

(2024년3월21일 갱신)

• 자기 소개(2020년4월7일 갱신)
• 경현치(2020년4월7일 갱신)
• PGP공개열쇠(2013년5월19일 갱신)

연구

주저

논문지

• The Method for Shellcode Extraction from Malicious Document File Using Entropy and Emulation
• Malware Classification Based on Extracted API Sequence by Static Analysis

국제회의

• Malware Classification based on Extracted API Sequences using Static Analysis

심포지엄, 연구회

• Verification of NCD-based clustering for extracting information to disable IoT malware
• Survey of False-Positive by Antivirus Software and Proposal of the Countermeasures
• Survey Analysis of Anti Virtual Machine Functions in Malicious Software
• Proposal for Shellcode Extraction from Malicious Document File
• Proposal for Automated Method to Narrow Down to Suspicious Android Application by Comparing Control Flow Graph
• Evaluation of Android Malware Detection Method without Code Analysis
• Detection Method for Android Malware by comparing Control Flow Graphs
• Detection Method for Android Malware by using Control Flow Analysis
• Detecting Original Entry Point based on Comparing Runtime Library Codes in Malware Unpacking
• Investigation on Results of Malware Classification based on the Static Analysis
• API Sequence Extraction and Cluster Analysis for Malware Codes based on the Static Analysis
• A Classification and Static Analysis for Malware Codes based on the Call Graph and the Control Flow
• Classification and feature extraction by using computer virus static analysis

공저

논문지

• Mitigate: Toward Comprehensive Research and Development for Analyzing and Combating IoT Malware
• Proposal of Long-term Observation Method of Financial Malware Combining Static Analysis and Behavior Observation

국제회의

• Proposal of the IoT malware-disabling method

심포지엄, 연구회

• Identification of user-defined functions based on function call sequence
• Attack trend analysis of IoT malware based on surface and dynamic analysis
• IoT Malware Static Analysis for Automated Extraction of Disabling Information
• A Report of Tracing Potentially Risky Apps by Using the Framework for Monitoring Web-Based Attacks Targeting Smartphone
• Automated Extraction of Kill Commands for Disabling IoT Malware
• A Study of Web Pages Distributing Android Applications Shared in Twitter and Consideration of a Detecting Method
• A Study on Detection of Malicious JavaScript Based on Source Code Similarity
• A Study of Android Applications Shared in Social Network Services
• A Study on Classification of Malicious JavaScript Based on Source Code Similarity
• Development of Dynamic Analysis Tool that Avoid of Anti Virtual Machine Function on Malicious Software
• Research on Attack Methods of Online Banking Malware Based on Static Analysis and Behavior Observation
• Induction of Sending Private Information Based on Function Distance in Android Application Bytecode
• Feasibility study of Observable Expression for Cyber Attack Countermeasure