An Effective Malware Detection Method Using Hybrid Feature Selection and Machine Learning Algorithms

Namita Dabas; Prachi Ahlawat; Prabha Sharma

doi:10.1007/s13369-022-07309-z

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JOURNAL ARTICLE

An Effective Malware Detection Method Using Hybrid Feature Selection and Machine Learning Algorithms

Namita Dabas Prachi Ahlawat Prabha Sharma

Year: 2022 Journal: Arabian Journal for Science and Engineering Vol: 48 (8)Pages: 9749-9767 Publisher: Springer Science+Business Media

DOI: 10.1007/s13369-022-07309-z

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Keywords:

Feature selection Malware Computer science Machine learning Artificial intelligence Feature (linguistics) Dimensionality reduction The Internet Leverage (statistics) Emulation Feature extraction Data mining Algorithm Computer security World Wide Web

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Cited By

3.70

FWCI (Field Weighted Citation Impact)

Refs

0.91

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Spam and Phishing Detection

Physical Sciences → Computer Science → Information Systems

An Effective Malware Detection Method Using Hybrid Feature Selection and Machine Learning Algorithms

Metrics

Citation History

Topics

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