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

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

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Bibliographic Details
Main Authors:	Chimeleze C.U., Jamil N., Ismail R., Lam K.-Y.
Other Authors:	57222127806
Format:	Conference Paper
Published:	Springer Science and Business Media Deutschland GmbH 2023
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Institution:	Universiti Tenaga Nasional

id	my.uniten.dspace-26573
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spelling	my.uniten.dspace-265732023-05-29T17:12:12Z 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. 57222127806 36682671900 15839357700 7403657062 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 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. Final 2023-05-29T09:12:11Z 2023-05-29T09:12:11Z 2021 Conference Paper 10.1007/978-981-33-6835-4_24 2-s2.0-85101498137 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 https://irepository.uniten.edu.my/handle/123456789/26573 1347 354 370 Springer Science and Business Media Deutschland GmbH Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
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
author2	57222127806
author_facet	57222127806 Chimeleze C.U. Jamil N. Ismail R. Lam K.-Y.
format	Conference Paper
author	Chimeleze C.U. Jamil N. Ismail R. Lam K.-Y.
spellingShingle	Chimeleze C.U. Jamil N. Ismail R. Lam K.-Y. A Review on Malware Variants Detection Techniques for Threat Intelligence in Resource Constrained Devices: Existing Approaches, Limitations and Future Direction
author_sort	Chimeleze C.U.
title	A Review on Malware Variants Detection Techniques for Threat Intelligence in Resource Constrained Devices: Existing Approaches, Limitations and Future Direction
title_short	A Review on Malware Variants Detection Techniques for Threat Intelligence in Resource Constrained Devices: Existing Approaches, Limitations and Future Direction
title_full	A Review on Malware Variants Detection Techniques for Threat Intelligence in Resource Constrained Devices: Existing Approaches, Limitations and Future Direction
title_fullStr	A Review on Malware Variants Detection Techniques for Threat Intelligence in Resource Constrained Devices: Existing Approaches, Limitations and Future Direction
title_full_unstemmed	A Review on Malware Variants Detection Techniques for Threat Intelligence in Resource Constrained Devices: Existing Approaches, Limitations and Future Direction
title_sort	review on malware variants detection techniques for threat intelligence in resource constrained devices: existing approaches, limitations and future direction
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2023
_version_	1806424178120720384

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

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