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Keyword

ransomware detection

Description: The cybersecurity process of identifying ransomware or its activity through analysis of files, behavior, network traffic, or system events.
OpenAlex ID: keywords/ransomware-detection
Ransomware threat success factors, taxonomy, and countermeasures: A survey and research directions
2018 · Bander Ali Saleh Al-rimy, Mohd Aizaini Maarof, et al. · Computers & Security · 369
UNVEIL: a large-scale, automated approach to detecting ransomware
2016 · Amin Kharraz, Sajjad Arshad, et al. · USENIX Security Symposium · 349
A Survey on Ransomware: Evolution, Taxonomy, and Defense Solutions
2022 · Harun Oz, Ahmet Aris, et al. · ACM Computing Surveys · 291
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Ransomware: Recent advances, analysis, challenges and future research directions
2021 · Craig Beaman, Ashley Barkworth, et al. · Computers & Security · 265
Automated Behavioral Analysis of Malware: A Case Study of WannaCry Ransomware
2017 · Qian Chen, Robert A. Bridges · IEEE International Conference on Machine Learning and Applications (ICMLA) · 239
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Ransomware attacks: detection, prevention and cure
2016 · Ross Brewer · Network Security · 214
Ransomware Detection Using the Dynamic Analysis and Machine Learning: A Survey and Research Directions
2021 · Umara Urooj, Bander Ali Saleh Al-rimy, et al. · Applied Sciences · 181
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Leveraging Machine Learning Techniques for Windows Ransomware Network Traffic Detection
2018 · Omar M. K. Alhawi, James Baldwin, et al. · Advances in information security · 177
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Detecting Ransomware with Honeypot Techniques
2016 · Chris Moore · 154
Ransomware detection using machine learning algorithms
2019 · Seong Il Bae, Gyu Bin Lee, et al. · Concurrency and Computation Practice and Experience · 150
R-Locker: Thwarting ransomware action through a honeyfile-based approach
2017 · J.A. Gómez-Hernández, L. Álvarez-González, et al. · Computers & Security · 150
Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence
2017 · Sajad Homayoun, Ali Dehghantanha, et al. · IEEE Transactions on Emerging Topics in Computing · 146
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Ransomware Detection using Random Forest Technique
2020 · Ban Mohammed Khammas · ICT Express · 145
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Two-Stage Ransomware Detection Using Dynamic Analysis and Machine Learning Techniques
2020 · Jinsoo Hwang, Jeankyung Kim, et al. · Wireless Personal Communications · 143
DRTHIS: Deep ransomware threat hunting and intelligence system at the fog layer
2018 · Sajad Homayoun, Ali Dehghantanha, et al. · Future Generation Computer Systems · 143
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Redemption: Real-Time Protection Against Ransomware at End-Hosts
2017 · Amin Kharraz, Engin Kirda · Lecture notes in computer science · 138
Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory
2018 · Aviad Cohen, Nir Nissim · Expert Systems with Applications · 131
The Age of Ransomware: A Survey on the Evolution, Taxonomy, and Research Directions
2023 · Salwa Razaulla, Claude Fachkha, et al. · IEEE Access · 130
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Machine Learning Based File Entropy Analysis for Ransomware Detection in Backup Systems
2019 · Kyungroul Lee, Sun-Young Lee, et al. · IEEE Access · 128
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Intelligent and Dynamic Ransomware Spread Detection and Mitigation in Integrated Clinical Environments
2019 · Lorenzo Fernández Maimó, Alberto Huertas Celdrán, et al. · Sensors · 126
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RansomWall: A layered defense system against cryptographic ransomware attacks using machine learning
2018 · Saiyed Kashif Shaukat, Vinay J. Ribeiro · International Conference on Communication Systems & Networks (COMSNETS) · 126
Machine Learning-Based Detection of Ransomware Using SDN
2018 · Greg Cusack, Oliver Michel, et al. · 124
RWGuard: A Real-Time Detection System Against Cryptographic Ransomware
2018 · Shagufta Mehnaz, Anand Mudgerikar, et al. · Lecture notes in computer science · 122
Ransomware Classification and Detection With Machine Learning Algorithms
2022 · Mohammad Masum, Md Jobair Hossain Faruk, et al. · IEEE Annual Computing and Communication Workshop and Conference (CCWC) · 115
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A Study on the Evolution of Ransomware Detection Using Machine Learning and Deep Learning Techniques
2020 · Damien Warren Fernando, Nikos Komninos, et al. · IoT · 114
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Works count: 2,248
Citation count: 18,400
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