Detecting and Analyzing Malware Using Machine Learning Classifiers-Reference-Cited by-同舟云学术

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Detecting and Analyzing Malware Using Machine Learning Classifiers

Published:2023 Issue: Volume: Page:197-207
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Dhingra Vishal,Singh Jaspreet^ORCID,Kaur Parminder

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-0483-9_18

Reference19 articles.

1. Rathore H, Agarwal S, Sahay SK, Sewak M (2018) Malware detection using machine learning and deep learning. Lecture notes in computer science (including Subseries. Lecture notes in artificial intelligence. Notes bioinformatics), vol 11297 LNCS, pp 402–411. https://doi.org/10.1007/978-3-030-04780-1_28

2. Khammas B (2018) Malware detection using sub-signatures and machine learning technique. J Inf Secur Res 9(3):96. https://doi.org/10.6025/jisr/2018/9/3/96-106

3. Cunningham E, Boydell O, Doherty C, Roques B, Le Q (2019) Using text classification methods to detect malware. CEUR Workshop Proc 2563:95–103

4. Selamat NS, Ali FHM (2019) Comparison of malware detection techniques using machine learning algorithm. Indones J Electr Eng Comput Sci 16(1):435–440. https://doi.org/10.11591/ijeecs.v16.i1.pp435-440

5. Zhao H, Li M, Wu T, Yang F (2018) Evaluation of supervised machine learning techniques for dynamic malware detection. Int J Comput Intell Syst 11(1):1153–1169. https://doi.org/10.2991/ijcis.11.1.87

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1. Malware Detection using Anomaly Detection Algorithms;2024 Fifteenth International Conference on Ubiquitous and Future Networks (ICUFN);2024-07-02

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