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Introducing a Machine Learning Password Metric Based on EFKM Clustering Algorithm

Introducing a Machine Learning Password Metric Based on EFKM Clustering Algorithm

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2483993274

Introducing a Machine Learning Password Metric Based on EFKM Clustering Algorithm

About this item

Full title

Introducing a Machine Learning Password Metric Based on EFKM Clustering Algorithm

Publisher

Kohat: Kohat University of Science and Technology (KUST)

Journal title

International journal of communication networks and information security, 2020-12, Vol.12 (3), p.394-400

Language

English

Formats

Publication information

Publisher

Kohat: Kohat University of Science and Technology (KUST)

More information

Scope and Contents

Contents

we introduce a password strength metric using the Enhanced Fuzzy K-Means clustering algorithm (EFKM henceforth). We train the EFKM on the OWASP list of 10002 weak passwords. After that, we maximize the optimized centroids to develop a password strength metric. We validate the resulting meter by contrasting with three entropy-based metrics using two...

Alternative Titles

Full title

Introducing a Machine Learning Password Metric Based on EFKM Clustering Algorithm

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2483993274

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2483993274

Other Identifiers

ISSN

2073-607X

E-ISSN

2076-0930

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