has been cited by the following article(s):
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[1]
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A Review on Ransomware Attack
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2021 |
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[2]
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Cyber Fraud: Detection and Analysis of the Crypto-Ransomware
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2020 |
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[3]
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藉由監控 I/O 請求以進行勒索軟體偵測
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2019 |
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[4]
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植基於檔案異動行為建模與備援之勒索軟體防禦機制
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2019 |
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[5]
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Machine learning based file entropy analysis for ransomware detection in backup systems
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2019 |
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[6]
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AUTOMATIC DETECTION AND ANALYSIS OF RANSOMWARE ATTACKS
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South Asian Journal of Research in Engineering Science and Technology,
2019 |
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[7]
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Offline Based Ransomware Detection and Analysis Method using Dynamic API Calls Flow Graph
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2018 |
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[8]
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Ransomware prevention technique using key backup
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Concurrency and computation: practice and experience,
2018 |
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[9]
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다이나믹 API 호출 흐름 그래프를 이용한 오프라인 기반 랜섬웨어 탐지 및 분석 기술 개발
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Journal of Digital Contents Society,
2018 |
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[10]
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Erhebung von Informations-und Datenquellen für Cyber-Lagebilder
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Cyber Situational Awareness in Public-Private-Partnerships,
2018 |
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[11]
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Ransomware: A Survey and Trends.
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Journal of Information Assurance & Security,
2017 |
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[12]
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Automatic Ransomware Detection and Analysis Based on Dynamic API Calls Flow Graph
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RACS 2017 Proceedings of the International Conference on Research in Adaptive and Convergent Systems,
2017 |
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[13]
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Ransomware: a survey and trends
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2017 |
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[14]
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랜섬웨어의 공격 기법 분석과 대응 방안에 대한 연구
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Proceedings of the 33th KSII Spring Conference,
2016 |
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[15]
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Security Challenges in Recent Internet Threats and Enhanced Security Service Model for Future IT Environments
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網際網路技術學刊,
2016 |
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[16]
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Ransomware-Prevention Technique Using Key Backup
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Big Data Technologies and Applications,
2016 |
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[17]
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The Effective Ransomware Prevention Technique using Process Monitoring on Android Platform
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Mobile Information Systems ,
2015 |
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[1]
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The rise of ransomware: Forensic analysis for windows based ransomware attacks
Expert Systems with Applications,
2022
DOI:10.1016/j.eswa.2021.116198
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[2]
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A Method for Neutralizing Entropy Measurement-Based Ransomware Detection Technologies Using Encoding Algorithms
Entropy,
2022
DOI:10.3390/e24020239
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[3]
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Ransomware Detection Using the Dynamic Analysis and Machine Learning: A Survey and Research Directions
Applied Sciences,
2021
DOI:10.3390/app12010172
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[4]
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A Review on Ransomware Attack
2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC),
2021
DOI:10.1109/ICSCCC51823.2021.9478148
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[5]
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Cyber Fraud: Detection and Analysis of the Crypto-Ransomware
2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON),
2020
DOI:10.1109/UEMCON51285.2020.9298128
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[6]
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Machine Learning Based File Entropy Analysis for Ransomware Detection in Backup Systems
IEEE Access,
2019
DOI:10.1109/ACCESS.2019.2931136
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[7]
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Cyber Situational Awareness in Public-Private-Partnerships
2018
DOI:10.1007/978-3-662-56084-6_6
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[8]
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Big Data Technologies and Applications
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
2017
DOI:10.1007/978-3-319-58967-1_12
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[9]
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Automatic Ransomware Detection and Analysis Based on Dynamic API Calls Flow Graph
Proceedings of the International Conference on Research in Adaptive and Convergent Systems - RACS '17,
2017
DOI:10.1145/3129676.3129704
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[10]
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The Effective Ransomware Prevention Technique Using Process Monitoring on Android Platform
Mobile Information Systems,
2016
DOI:10.1155/2016/2946735
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