Kernel Metadata Declaration — on demand
ISO 26324 asks a DOI Registration Agency to produce a Kernel Metadata Declaration for every DOI it issues. Give any DOI: its public record becomes a record in the Smart Scholars DOI Metadata Format 1.0, checked against every rule, and declared as the Kernel XML.
✓ Meets every rule of the format
The record below is complete and every controlled value is a DOI Attribute Value Set 2.3 spelling. The Declaration on the right follows DOIMetadataKernel.xsd element by element.
What the DOI identifies
Suspicious Account Detection Using Machine Learning Techniques
10.46243/jst.2023.v8.i07.pp124-132 · JournalArticle — an article in a journal · Digital · Visual · Language · en
Published 2023
Part of Journal of Science & Technology · ISSN 2456-5660 · vol. 08 · no. 07 · pp. 124–132
Principal agents
- Anjum Afshan (author → Author)
- B.Anvesh kumar (author → Author)
- Dr.V.Bapuji (author → Author)
- Longman Publishers (publisher → Publisher)
Also in the record, outside the Kernel: the abstract, the licence, 3 links, 9 references. Source: Crossref (member 25296), registered 2026-09-23, last deposited 2026-09-27.
System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1
Each element by the standard's name and the Handbook's (in grey), read off the record.
| DOI Name DOI name | 10.46243/jst.2023.v8.i07.pp124-132 |
| Referent Type referentType | Creation |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal |
| Referent Name(s) referentName(s) | Suspicious Account Detection Using Machine Learning Techniques (PrincipalTitle, en) |
| Basic Metadata basicMetadata | author: Anjum Afshan author: B.Anvesh kumar author: Dr.V.Bapuji publisher: Longman Publishers published: 2023 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 08 · no. 07 · pp. 124–132 language: en form: Digital · Visual · Language |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy |
| Created Date issueDate | 2026-09-23 |
| relatedIdentifiers | none needed — the descriptive metadata is in this record |
The record
{
"format": "smartscholars-doi-metadata/1.0",
"doi": "10.46243/jst.2023.v8.i07.pp124-132",
"referent": "Creation",
"type": "JournalArticle",
"structural_type": "Digital",
"modes": [
"Visual"
],
"characters": [
"Language"
],
"titles": [
{
"value": "Suspicious Account Detection Using Machine Learning Techniques",
"type": "PrincipalTitle",
"lang": "en"
}
],
"identifiers": [
{
"type": "DOI",
"value": "10.46243/jst.2023.v8.i07.pp124-132"
}
],
"agents": [
{
"role": "author",
"name": {
"given": "Anjum",
"family": "Afshan"
},
"sequence": "first"
},
{
"role": "author",
"name": {
"given": "B.Anvesh",
"family": "kumar"
},
"sequence": "additional"
},
{
"role": "author",
"name": {
"given": "",
"family": "Dr.V.Bapuji"
},
"sequence": "additional"
},
{
"role": "publisher",
"name": {
"org": "Longman Publishers"
}
}
],
"dates": {
"published": "2023",
"date_type": "PublicationDate",
"online": "2023"
},
"language": "en",
"container": {
"type": "Journal",
"titles": [
{
"value": "Journal of Science & Technology",
"type": "PrincipalTitle"
}
],
"identifiers": [
{
"type": "ISSN",
"value": "2456-5660",
"medium": "electronic"
}
],
"volume": "08",
"issue": "07",
"pages": {
"first": "124",
"last": "132"
}
},
"links": [
{
"url": "https://www.jst.org.in/index.php/pub/article/view/739",
"return_type": "text/html",
"primary": true
},
{
"url": "https://www.jst.org.in/index.php/pub/article/download/739/665",
"purpose": "text-mining",
"return_type": "application/pdf"
},
{
"url": "https://www.jst.org.in/index.php/pub/article/view/739/665",
"purpose": "similarity-checking"
}
],
"abstract": {
"value": "In the current generation, social networking sites have become an integral part of life for most people. On social networking sites such as Facebook, Instagram, and Twitter, thousands of people create their profiles daily, interacting with each based on the classification for detecting Suspicious accounts on social networks. Here the traditionally way has been used for different classification methods in this paper. The implementation of machine learning and natural language processor (NLP) techniques are done to enhance the accuracy of others regardless of location and time. Our goal is to understand who encourages threats in social networking profiles. To determine which social network profiles are genuine and which ones are Suspicious profiles, The support vector machine (SVM) and Naves bays algorithm technique can also be applied to achieve this strategy.",
"lang": "en"
},
"license": {
"url": "https://creativecommons.org/licenses/by/4.0/",
"start": "2023-01-01",
"applies_to": "vor"
},
"references": [
{
"key": "ref1",
"doi": "10.1109/ic3iot53935.2022.9767958",
"unstructured": "L. P, S. V, V. Sasikala, J. Arunarasi, A. R. Rajini and N. Nithiya, “Fake Profile Identification in Social Network using Machine Learning and NLP,” 2022 International Conference on Communication, Computing and Internet of Things (IC3IoT), Chennai, India, 2022, pp. 1-4, doi: 10.1109/IC3IOT53935.2022.9767958. Learning and NLP) pp. 4133-4136"
},
{
"key": "ref2",
"doi": "10.9790/0661-15010020249-55",
"unstructured": "Dhawan, Sanjeev. (2016). Implications of Various Fake Profile Detection Techniques in Social Networks. IOSR Journal of Computer Engineering. 02. 49-55. 10.9790/0661-15010020249-55.V. Ramakrishna and K Kanaka Durga"
},
{
"key": "ref3",
"doi": "10.1109/iseasp.2017.7976996",
"unstructured": "Gupta, Aditi & Kaushal, Rishabh. (2017). Towards detecting fake user accounts in facebook. 1-6. 10.1109/ISEASP.2017.7976996"
},
{
"key": "ref4",
"doi": "10.1109/iccw.2013.6649223",
"unstructured": "C. Perez, M. Lemercier and B. Birregah, “A dynamic approach to detecting suspicious profiles on social platforms,” 2013 IEEE International Conference on Communications Workshops (ICC), Budapest, Hungary, 2013, pp. 174-178, doi: 10.1109/ICCW.2013.6649223"
},
{
"key": "ref5",
"doi": "10.1007/978-981-15-6315-7_2",
"unstructured": "Joshi, S., Nagariya, H.G., Dhanotiya, N., Jain, S. (2020). Identifying Fake Profile in Online Social Network: An Overview and Survey. In: Bhattacharjee, A., Borgohain, S., Soni, B., Verma, G., Gao, XZ. (eds) Machine Learning, Image Processing, Network Security and Data Sciences. MIND 2020. Communications in Computer and Information Science, vol 1240. Springer, Singapore. https://doi.org/10.1007/978-981- 15-6315-7_2"
},
{
"key": "ref6",
"doi": "10.4236/jcc.2022.1010006",
"unstructured": "Chakraborty, P., Shazan, M., Nahid, M., Ahmed, M. and Talukder, P. (2022) Fake Profile Detection Using Machine Learning Techniques. Journal of Computer and Communications, 10, 74-87. doi: 10.4236/jcc.2022.1010006"
},
{
"key": "ref7",
"doi": "10.1016/j.socnet.2014.05.002",
"unstructured": "David Savage, Xiuzhen Zhang, Xinghuo Yu, Pauline Chou, Qingmai Wang,Anomaly detection in online social networks,Social Networks,https:// doi.org/10.1016/j.socnet.2014.05.0"
},
{
"key": "ref8",
"doi": "10.1109/iccw.2013.6649223",
"unstructured": "C. Perez, M. Lemercier and B. Birregah, “A dynamic approach to detecting suspicious profiles on social platforms,” 2013 IEEE International Conference on Communications Workshops (ICC), Budapest, Hungary, 2013, pp. 174-178, doi: 10.1109/ICCW.2013.6649223"
},
{
"key": "ref9",
"doi": "10.1109/comst.2014.2321628",
"unstructured": "M. Fire, R. Goldschmidt and Y. Elovici, “Online Social Networks: Threats and Solutions,” in IEEE Communications Surveys & Tutorials, vol. 16, no. 4, pp. 2019-2036, Fourthquarter 2014, doi: 10.1109/COMST.2014.2321628. arXiv:1303.3751 [cs.SI] (or arXiv:1303.3751v1 [cs.SI] for this version)https://doi.org/10.48550/ arXiv.1303.3751"
}
],
"record": {
"registrant": "Longman Publishers",
"registered": "2026-09-23",
"updated": "2026-09-27",
"issue_number": 1,
"source": "crossref-api",
"source_agency": "Crossref (member 25296)"
}
}The Kernel Metadata Declaration
DOIMetadataKernel.xsd · namespace http://www.doi.org/2010/DOISchema · Attribute Value Sets 2.3 · draft — the agency's DOI name is filled in on accreditation
<?xml version="1.0" encoding="UTF-8"?>
<!-- DRAFT declaration: Smart Scholars is not yet a DOI Registration Agency. registrationAgencyDoiName is a marker (10.0/ is no RA's prefix) and is filled in on accreditation. -->
<kernelMetadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.doi.org/2010/DOISchema https://www.doi.org/doi_schemas/DOIMetadataKernel.xsd" xmlns="http://www.doi.org/2010/DOISchema">
<referentDoiName>10.46243/jst.2023.v8.i07.pp124-132</referentDoiName>
<primaryReferentType>Creation</primaryReferentType>
<registrationAgencyDoiName>10.0/smart-scholars-draft</registrationAgencyDoiName>
<issueDate>2026-10-04</issueDate>
<issueNumber>1</issueNumber>
<referentCreation>
<name primaryLanguage="en">
<value>Suspicious Account Detection Using Machine Learning Techniques</value>
<type>PrincipalTitle</type>
</name>
<identifier>
<nonUriValue>10.46243/jst.2023.v8.i07.pp124-132</nonUriValue>
<uri returnType="text/html" doesContentNegotiation="true">https://doi.org/10.46243/jst.2023.v8.i07.pp124-132</uri>
<type>DOI</type>
</identifier>
<identifier>
<uri returnType="text/html">https://www.jst.org.in/index.php/pub/article/view/739</uri>
<type>URI</type>
</identifier>
<identifier>
<uri>https://www.jst.org.in/index.php/pub/article/download/739/665</uri>
<type>URI</type>
</identifier>
<identifier>
<uri>https://www.jst.org.in/index.php/pub/article/view/739/665</uri>
<type>URI</type>
</identifier>
<structuralType>Digital</structuralType>
<mode>Visual</mode>
<character>Language</character>
<type>JournalArticle</type>
<principalAgent>
<name>
<value>Anjum Afshan</value>
<type>PrincipalName</type>
</name>
<role>Author</role>
</principalAgent>
<principalAgent>
<name>
<value>B.Anvesh kumar</value>
<type>PrincipalName</type>
</name>
<role>Author</role>
</principalAgent>
<principalAgent>
<name>
<value>Dr.V.Bapuji</value>
<type>PrincipalName</type>
</name>
<role>Author</role>
</principalAgent>
<principalAgent>
<name>
<value>Longman Publishers</value>
<type>PrincipalName</type>
</name>
<role>Publisher</role>
</principalAgent>
<linkedCreation>
<name>
<value>Journal of Science & Technology</value>
<type>PrincipalTitle</type>
</name>
<identifier>
<nonUriValue>2456-5660</nonUriValue>
<type>ISSN</type>
</identifier>
<referentCreationRole>Part</referentCreationRole>
<referentCreationSequenceIdentifier>
<value>08</value>
<type>VolumeNumber</type>
</referentCreationSequenceIdentifier>
<referentCreationSequenceIdentifier>
<value>07</value>
<type>IssueNumber</type>
</referentCreationSequenceIdentifier>
<referentCreationSequenceIdentifier>
<value>124-132</value>
<type>PageNumber</type>
</referentCreationSequenceIdentifier>
</linkedCreation>
<language>en</language>
<languageOfReferentContent>
<language>en</language>
<languageOfReferentContentType>Original</languageOfReferentContentType>
</languageOfReferentContent>
<creationDate>
<date>2023</date>
<creationDateType>PublicationDate</creationDateType>
</creationDate>
</referentCreation>
</kernelMetadata>
