Mitigating adversarial evasion attacks of ransomware using ensemble learning-Reference-Cited by-同舟云学术

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Mitigating adversarial evasion attacks of ransomware using ensemble learning

Published:2022-05 Issue: Volume:100 Page:107903
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Ahmed Usman,Lin Jerry Chun-Wei^ORCID,Srivastava Gautam^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference25 articles.

1. Ransomware threat success factors, taxonomy, and countermeasures: A survey and research directions;Al-rimy;Comput Secur,2018

2. The effective ransomware prevention technique using process monitoring on android platform;Song;Mob Inf Syst,2016

3. Automated detection and analysis for android ransomware;Yang,2015

4. A study of android-based ransomware: Discovery, methods, and impacts;Ameer;J Inform Assurance Secur,2018

5. Experimental analysis of ransomware on windows and android platforms: evolution and characterization;Zavarsky;Procedia Comput Sci,2016

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1. Evolving techniques in cyber threat hunting: A systematic review;Journal of Network and Computer Applications;2024-12

2. An experimental review of the ensemble-based data stream classification algorithms in non-stationary environments;Computers and Electrical Engineering;2024-09

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

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

5. Explainability-Informed Targeted Malware Misclassification;2024 33rd International Conference on Computer Communications and Networks (ICCCN);2024-07-29

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