10.46243/jst.2022.v7.i09.pp0135-140 registered
Relevance feature selection via analysis of the KDD '99 intrusion detection dataset
Resolves to https://www.jst.org.in/index.php/pub/article/view/869/796
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2022.v7.i09.pp0135-140
Registered 29 Sep 2026 via crossref · record version 1 · last change 29 Sep 2026, 10:00 PM · record sha256 aae78bd9d695b31d…
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What the DOI identifies
JournalArticle — an article in a journal · Digital · Visual
Relevance feature selection via analysis of the KDD '99 intrusion detection dataset (PrincipalTitle)
Published 2022
Part of Journal of Science and Technology · ISSN 2456-5660 · volume 07 · issue 09 · pages 135–140
Agents
- Dr.Y V R Naga Pawan (author)
- K Vijay Kumar (author)
- CH Krishna Prasad (author)
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jst.2022.v7.i09.pp0135-140
Abstract
The rapid development of business and othertransaction systems over the Internet makes computer securitya critical issue. In recent times, data mining and machine learning have been subjected to extensive research in intrusion detection with emphasis on improving the accuracy of detection classifier. But selecting important features from input data lead to a simplification of the problem, faster and more accurate detection rates. In this paper, we presented therelevance of each feature in KDD ’99 intrusion detection dataset to the detection of each class. Rough set degree of dependency and dependency ratio of each class were employed to determine the most discriminating features for each class. Empirical results show that seven features were not relevant in the detection of any class.
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| Element | Value | In the record |
|---|---|---|
| DOI Name DOI name | 10.46243/jst.2022.v7.i09.pp0135-140 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | Relevance feature selection via analysis of the KDD '99 intrusion detection dataset (PrincipalTitle) | titles |
| Basic Metadata basicMetadata | author: Dr.Y V R Naga Pawan author: K Vijay Kumar author: CH Krishna Prasad publisher: Longman Publishers published: 2022 part of: Journal of Science and Technology · ISSN 2456-5660 · vol. 07 · no. 09 · pp. 135–140 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 | 2024-02-16 | 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) | 85 fields set · sha256 aae78bd9d695… |
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