A few-shot meta-learning based siamese neural network using entropy features for ransomware classification

Author:

Zhu JintingORCID,Jang-Jaccard Julian,Singh Amardeep,Welch Ian,AI-Sahaf Harith,Camtepe Seyit

Funder

New Zealand Ministry of Business Innovation and Employment

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference34 articles.

1. Particle swarm optimization: a wrapper-based feature selection method for ransomware detection and classification;Abbasi;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2020

2. A genetic programming approach to feature selection and construction for ransomware, phishing and spam detection;Al-Sahaf,2019

3. Baldwin J., Dehghantanha A.. Leveraging Support Vector Machine for Opcode Density Based Detection of Crypto-ransomware; Cham: Springer International Publishing. p. 107–136. 10.1007/978-3-319-73951-9_6

4. Ransomware detection using deep learning in the SCADA system of electric vehicle charging station;Basnet;arXiv preprint arXiv:210407409,2021

5. Measuring human resilience in the face of the global epidemiology of cyber attacks;Camp,2019

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