Ransomware Classification and Detection With Machine Learning Algorithms

Author:

Masum Mohammad1,Hossain Faruk Md Jobair2,Shahriar Hossain3,Qian Kai4,Lo Dan4,Adnan Muhaiminul Islam5

Affiliation:

1. Kennesaw State University,School of Data Science,USA

2. Kennesaw State University,Department of Software Engineering and Game Development,USA

3. Kennesaw State University,Department of Information Technology,USA

4. Kennesaw State University,Department Computer Science,USA

5. Institute of Natural Sciences, United International University,Bangladesh

Funder

U.S. National Science Foundation Awards

Publisher

IEEE

Cited by 51 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fight Malware Like Malware: A New Defense Method Against Crypto Ransomware;IEEE Transactions on Dependable and Secure Computing;2024-09

2. Ransomware Reloaded: Re-examining Its Trend, Research and Mitigation in the Era of Data Exfiltration;ACM Computing Surveys;2024-08-30

3. Early Ransomware Detection with Deep Learning Models;Future Internet;2024-08-11

4. API2Vec++: Boosting API Sequence Representation for Malware Detection and Classification;IEEE Transactions on Software Engineering;2024-08

5. Ransomware Detection Using Machine Learning Algorithms;2024 Intelligent Methods, Systems, and Applications (IMSA);2024-07-13

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