A Review on Malware Variants Detection Techniques for Threat Intelligence in Resource Constrained Devices: Existing Approaches, Limitations and Future Direction

Chimeleze C.U.; Jamil N.; Ismail R.; Lam K.-Y.

doi:10.1007/978-981-33-6835-4_24

Publication:
A Review on Malware Variants Detection Techniques for Threat Intelligence in Resource Constrained Devices: Existing Approaches, Limitations and Future Direction

dc.contributor.author	Chimeleze C.U.	en_US
dc.contributor.author	Jamil N.	en_US
dc.contributor.author	Ismail R.	en_US
dc.contributor.author	Lam K.-Y.	en_US
dc.contributor.authorid	57222127806	en_US
dc.contributor.authorid	36682671900	en_US
dc.contributor.authorid	15839357700	en_US
dc.contributor.authorid	7403657062	en_US
dc.date.accessioned	2023-05-29T09:12:11Z
dc.date.available	2023-05-29T09:12:11Z
dc.date.issued	2021
dc.description	Codes (symbols); Internet of things; Comprehensive assessment; Detection models; Information and Communication Technologies; Information sharing; Internet of thing (IOT); IOT applications; Resourceconstrained devices; Security breaches; Malware	en_US
dc.description.abstract	The Internet of Things (IoT) has been an immediate major turning point in information and communication technology as it gives room for connection and information sharing among numerous devices. Notwithstanding, malicious code attacks have exponentially increased, with malicious code variants ranked as a major threat in resource constrained devices in IoT environment thereby making the efficient malware variants detection a serious concern for researchers in recent years. The capacity to detect malware variants is essential for protection against security breaches, data theft and other dangers. Hence with the explosion of resource constrained devices for IoT applications, it becomes very important to document existing cutting-edge techniques developed to detect malware variants in these devices. In this paper, we have investigated extensively the implementation of malware variants detection models particularly in smartphones as a case study for resource constrained devices. The paper covers the current techniques for detection of malware variants, comprehensive assessment of the techniques and recommendations for future researches. � 2021, Springer Nature Singapore Pte Ltd.	en_US
dc.description.nature	Final	en_US
dc.identifier.doi	10.1007/978-981-33-6835-4_24
dc.identifier.epage	370
dc.identifier.scopus	2-s2.0-85101498137
dc.identifier.spage	354
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101498137&doi=10.1007%2f978-981-33-6835-4_24&partnerID=40&md5=2eb3fb81e6d4c463ec023ba73fcddb06
dc.identifier.uri	https://irepository.uniten.edu.my/handle/123456789/26573
dc.identifier.volume	1347
dc.publisher	Springer Science and Business Media Deutschland GmbH	en_US
dc.source	Scopus
dc.sourcetitle	Communications in Computer and Information Science
dc.title	A Review on Malware Variants Detection Techniques for Threat Intelligence in Resource Constrained Devices: Existing Approaches, Limitations and Future Direction	en_US
dc.type	Conference Paper	en_US
dspace.entity.type	Publication

Collections

SCOPUS

Publication: A Review on Malware Variants Detection Techniques for Threat Intelligence in Resource Constrained Devices: Existing Approaches, Limitations and Future Direction

Options

Files

Collections

Publication:
A Review on Malware Variants Detection Techniques for Threat Intelligence in Resource Constrained Devices: Existing Approaches, Limitations and Future Direction