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Collaborative Learning Based Sybil Attack Detection in Vehicular AD-HOC Networks (VANETS)

Collaborative Learning Based Sybil Attack Detection in Vehicular AD-HOC Networks (VANETS)

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4f6e7c8b25694746a88876caf6001c95

Collaborative Learning Based Sybil Attack Detection in Vehicular AD-HOC Networks (VANETS)

About this item

Full title

Collaborative Learning Based Sybil Attack Detection in Vehicular AD-HOC Networks (VANETS)

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2022-09, Vol.22 (18), p.6934

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Vehicular Ad-hoc network (VANET) is an imminent technology having both exciting prospects and substantial challenges, especially in terms of security. Due to its distributed network and frequently changing topology, it is extremely prone to security attacks. The researchers have proposed different strategies for detecting various forms of network a...

Alternative Titles

Full title

Collaborative Learning Based Sybil Attack Detection in Vehicular AD-HOC Networks (VANETS)

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4f6e7c8b25694746a88876caf6001c95

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4f6e7c8b25694746a88876caf6001c95

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s22186934

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