10.46243/jst.2020.v5.i6.pp11-18 registered
A Survey on Phishing Detection and The Importance of Feature Selection In Data Mining Classification Algorithms
Resolves to https://www.jst.org.in/index.php/pub/article/view/512
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2020.v5.i6.pp11-18
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 6e9f49b44f3ce4d6…
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What the DOI identifies
JournalArticle — an article in a journal · Digital · Visual · en
A Survey on Phishing Detection and The Importance of Feature Selection In Data Mining Classification Algorithms (PrincipalTitle)
Published 2020-09-22
Part of Journal of Science & Technology · ISSN 2456-5660 · issue Volume 5 · pages 11–18
Agents
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jst.2020.v5.i6.pp11-18
Abstract
: In this era of Internet, the issue of security of information is at its peak. One of the main threats in this cyber world is phishing attacks which is an email or website fraud method that targets the genuine webpage or an email and hacks it without the consent of the end user. There are various techniques which help to classify whether the website or an email is legitimate or fake. The major contributors in the process of detection of these phishing frauds include the classification algorithms, feature selection techniques or dataset preparation methods and the feature extraction that plays an important role in detection as well as in prevention of these attacks. This Survey Paper studies the effect of all these contributors and the approaches that are applied in the study conducted on the recent papers. Some of the classification algorithms that are implemented includes Decision tree, Random Forest , Support Vector Machines, Logistic Regression , Lazy K Star, Naive Bayes and J48 etc.
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| Element | Value | In the record |
|---|---|---|
| DOI Name DOI name | 10.46243/jst.2020.v5.i6.pp11-18 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | A Survey on Phishing Detection and The Importance of Feature Selection In Data Mining Classification Algorithms (PrincipalTitle, en) | titles |
| Basic Metadata basicMetadata | publisher: Longman Publishers published: 2020-09-22 part of: Journal of Science & Technology · ISSN 2456-5660 · no. Volume 5 · pp. 11–18 language: en 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 | 2020-10-29 | 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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History — the ledger
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) | 133 fields set · sha256 4c8456f56b6a… |
| 2 | 29 Sep 2026, 11:59 PM | update record re-read from api.crossref.org | Administrator (admin) | container.titles.0.value: titles.0.value: |
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