Evolving malice scoring models for ransomware detection: An automated approach by utilising genetic programming and cooperative coevolution-Reference-Cited by-同舟云学术

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Evolving malice scoring models for ransomware detection: An automated approach by utilising genetic programming and cooperative coevolution

Published:2023-06 Issue: Volume:129 Page:103215
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

John Taran Cyriac^ORCID,Abbasi Muhammad Shabbir^ORCID,Al-Sahaf Harith^ORCID,Welch Ian^ORCID,Jang-Jaccard Julian^ORCID

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference44 articles.

1. Behavior-based ransomware classification: aparticle swarm optimization wrapper-based approach for feature selection;Abbasi;Appl. Soft Comput.,2022

2. Particle Swarm Optimization: A Wrapper-based Feature Selection Method for Ransomware Detection and Classifcation;Abbasi,2020

3. Automated behavior-based malice scoring of ransomware using genetic programming;Abbasi,2021

4. Attention in recurrent neural networks for ransomware detection;Agrawal,2019

5. Automated analysis approach for the detection of high survivable ransomware;Ahmed;KSII Trans. Internet Inf. Syst.,2020

Cited by 2 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. MAGIC: Malware behaviour analysis and impact quantification through signature co-occurrence and regression;Computers & Security;2024-04

2. Crypto-Ransomware: A Revision of the State of the Art, Advances and Challenges;Electronics;2023-11-01

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