Publication:
Intrusion Detection in Wireless Body Area Network using Attentive with Graphical Bidirectional Long-Short Term Memory

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dc.citedby2
dc.contributor.authorAbdulrahman S.A.en_US
dc.contributor.authorAhmed E.Q.en_US
dc.contributor.authorJaaz Z.A.en_US
dc.contributor.authorAli A.R.en_US
dc.contributor.authorid57217096778en_US
dc.contributor.authorid57224514739en_US
dc.contributor.authorid57210340202en_US
dc.contributor.authorid58292703000en_US
dc.date.accessioned2024-10-14T03:21:13Z
dc.date.available2024-10-14T03:21:13Z
dc.date.issued2023
dc.description.abstractRecently developed low-power networked systems, wireless communications, and wireless sensors have all contributed to the rise of Wireless Sensor Networks (WSNs) as a potentially useful tool in the medical field. Securing Wireless Body Area Networks (WBANs) is essential for their widespread use in healthcare environments because the data they send frequently includes private and confidential patient health information. The study�s goal is to create a system for detecting intrusions in WBAN. To best identify attacks in such systems, we present a novel �Attention-based Bi-directional Long Short-Term Memory with Graph Construction� (ABL-GC) here. The suggested approach ensures that the intrusion detection system uses only the features essential to detect a given attack, reducing the processing complexity. � 2023,International journal of online and biomedical engineering. All Rights Reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.3991/ijoe.v19i06.37593
dc.identifier.epage46
dc.identifier.issue6
dc.identifier.scopus2-s2.0-85160433018
dc.identifier.spage31
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85160433018&doi=10.3991%2fijoe.v19i06.37593&partnerID=40&md5=5f906fc3533bd1bfd3f8c3cc6944dc2e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34627
dc.identifier.volume19
dc.pagecount15
dc.publisherInternational Association of Online Engineeringen_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleInternational journal of online and biomedical engineering
dc.subjectAttention-based Bi-directional Long Short-Term Memory with Graph Construction (ABL-GC)
dc.subjecthealthcare
dc.subjectintrusion detection
dc.subjectWireless Body Area Network (WBAN)
dc.titleIntrusion Detection in Wireless Body Area Network using Attentive with Graphical Bidirectional Long-Short Term Memoryen_US
dc.typeArticleen_US
dspace.entity.typePublication
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