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Malware Analysis and Detection Using Machine Learning Algorithms

Malware Analysis and Detection Using Machine Learning Algorithms

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2734753352

Malware Analysis and Detection Using Machine Learning Algorithms

About this item

Full title

Malware Analysis and Detection Using Machine Learning Algorithms

Publisher

Basel: MDPI AG

Journal title

Symmetry (Basel), 2022-11, Vol.14 (11), p.2304

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

One of the most significant issues facing internet users nowadays is malware. Polymorphic malware is a new type of malicious software that is more adaptable than previous generations of viruses. Polymorphic malware constantly modifies its signature traits to avoid being identified by traditional signature-based malware detection models. To identify...

Alternative Titles

Full title

Malware Analysis and Detection Using Machine Learning Algorithms

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2734753352

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2734753352

Other Identifiers

ISSN

2073-8994

E-ISSN

2073-8994

DOI

10.3390/sym14112304

How to access this item