10.46243/jst.2025.v10.i05.pp38-49 registered
Malware Detection using the concept of Random Forest Algorithm
Resolves to https://jst.org.in/index.php/pub/article/view/1270
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2025.v10.i05.pp38-49
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 cc83a96af857cfa8…
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JournalArticle — an article in a journal · Digital · Visual
Malware Detection using the concept of Random Forest Algorithm (PrincipalTitle)
Published 2025-05-21
Part of Journal of Science & Technology · ISSN 2456-5660 · volume 10 · issue 5 · pages 38–49
Agents
- DharmendraThapa (author)
- Hari Narayan Ray Yadav (author)
- Madhav Dhakal (author)
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jst.2025.v10.i05.pp38-49
Abstract
Malicious software is abundant in a world of innumerable computer users, who are constantly faced with these threats fromvarious sources like the internet, local networks and portable drives. Malware is potentially low to high risk and can causesystems to function incorrectly, steal data and even crash. Malware may be executable or system library files in the form ofviruses, worms, Trojans, all aimed at breaching the security of the system and compromising user privacy. In this study, theproposed machine learning algorithm is RF algorithm which use Gini index CART algorithm to create multiple decision treewith majority of the outputs from each decision trees. Here, total 1,38,047 data is collected which contain 96,724 malware and41,323 legit. RF algorithm achieved 99.54% accuracy during malware detection followed by 99.13% precision, 99.35% recalland 99.24% f1 score respectively during testing.
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Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.
| Element | Value | In the record |
|---|---|---|
| DOI Name DOI name | 10.46243/jst.2025.v10.i05.pp38-49 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | Malware Detection using the concept of Random Forest Algorithm (PrincipalTitle) | titles |
| Basic Metadata basicMetadata | author: DharmendraThapa author: Hari Narayan Ray Yadav author: Madhav Dhakal publisher: Longman Publishers published: 2025-05-21 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 10 · no. 5 · pp. 38–49 form: Digital · Visual · Language | agents, dates, container, language, structural_type, modes, characters |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI | identifiers, relations (IsSameAs) |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy | record.source_agency (our code, ra_doi_name, for names issued here once appointed) |
| Created Date issueDate | 2025-08-26 | record.registered (when the DOI name was first registered) |
| relatedIdentifiers | none needed — the descriptive metadata is in this record | container, relations (only where the descriptive metadata lives at another identifier) |
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Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.
| # | When | What | By | Changes |
|---|---|---|---|---|
| 1 | 29 Sep 2026, 10:00 PM | register registered at Crossref; record read from api.crossref.org | Administrator (admin) | 79 fields set · sha256 7c69040a91e1… |
| 2 | 29 Sep 2026, 11:59 PM | update record re-read from api.crossref.org | Administrator (admin) | container.titles.0.value: |
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