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Malware threat analysis techniques and approaches for iot applications: A review

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dc.citedby4
dc.contributor.authorUchenna C.C.en_US
dc.contributor.authorJamil N.en_US
dc.contributor.authorIsmail R.en_US
dc.contributor.authorYan L.K.en_US
dc.contributor.authorMohamed M.A.en_US
dc.contributor.authorid57224217428en_US
dc.contributor.authorid36682671900en_US
dc.contributor.authorid15839357700en_US
dc.contributor.authorid57222726159en_US
dc.contributor.authorid57194596063en_US
dc.date.accessioned2023-05-29T09:11:37Z
dc.date.available2023-05-29T09:11:37Z
dc.date.issued2021
dc.description.abstractInternet of things (IoT) is a concept that has been widely used to improve business efficiency and customer�s experience. It involves resource constrained devices connecting to each other with a capability of sending data, and some with receiving data at the same time. The IoT environment enhances user experience by giving room to a large number of smart devices to connect and share information. However, with the sophistication of technology has resulted in IoT applications facing with malware threat. Therefore, it becomes highly imperative to give an understanding of existing state-of-the-art techniques developed to address malware threat in IoT applications. In this paper, we studied extensively the adoption of static, dynamic and hybrid malware analyses in proffering solution to the security problems plaguing different IoT applications. The success of the reviewed analysis techniques were observed through case studies from smart homes, smart factories, smart gadgets and IoT application protocols. This study gives a better understanding of the holistic approaches to malware threats in IoT applications and the way forward for strengthening the protection defense in IoT applications. � 2021, Institute of Advanced Engineering and Science. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/eei.v10i3.2423
dc.identifier.epage1571
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85107314882
dc.identifier.spage1558
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85107314882&doi=10.11591%2feei.v10i3.2423&partnerID=40&md5=b944a2bae4d3bf2c1e805cf79dda3f78
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26530
dc.identifier.volume10
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleBulletin of Electrical Engineering and Informatics
dc.titleMalware threat analysis techniques and approaches for iot applications: A reviewen_US
dc.typeArticleen_US
dspace.entity.typePublication
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