Please use this identifier to cite or link to this item:
https://oarep.usim.edu.my/jspui/handle/123456789/20391
Title: | Ios Mobile Malware Analysis: A State-of-the-art | Authors: | Madihah Mohd Saudi Muhammad Afif Husainiamer Azuan Ahmad Mohd Yamani Idna Idris |
Keywords: | Hybrid analysis , iOS exploitation , Malware classification , Mobile malware, Online banking , Phylogenetic , Social media | Issue Date: | 2023 | Publisher: | Springer-Verlag France | Source: | Mohd Saudi, M., Husainiamer, M.A., Ahmad, A. et al. iOS mobile malware analysis: a state-of-the-art. J Comput Virol Hack Tech (2023). https://doi.org/10.1007/s11416-023-00477-y | Journal: | Journal of Computer Virology and Hacking Technique | Abstract: | In earlier years, most malware attacks were against Android smartphones. Unfortunately, for the past few years, the trend has shifted towards attacks against the Apple iOS smartphone. Consequently, an in-depth analysis of the malware and iOS architecture is important to identify the best mitigation solution against malware exploitation. Hence, this paper presents a state of-the-art deep analysis of malware against iOS smartphones. This includes comprehensive studies of malware architecture involving payload, propagation, operating algorithm, infection, and activation with underlying integration with a phylogenetic concept. Phylogenetic, borrowed from the biology field, can identify any evolution of the origin of the malware involved. To support this deep analysis of malware, a preliminary study was conducted using 12 malware samples, by focusing on social media and online banking. This took place in a controlled laboratory using hybrid analysis. The result showed that there is a way to identify the evolution of malware and as a result, a model has been developed. Based on the evaluation, 4% of mobile applications matched the patterns developed in this model. This proves that the model developed in this paper can detect any possible security exploitation related to social media and online banking for iOS mobile applications. This work can be used as guidance for other researchers working on similar interests in the future. |
URI: | https://oarep.usim.edu.my/jspui/handle/123456789/20391 https://link.springer.com/article/10.1007/s11416-023-00477-y https://www.scopus.com/record/display.uri?eid=2-s2.0-85159721447&origin=resultslist&sort=plf-f&src=s&st1=iOS+mobile+malware+analysis&sid=e5b1a92119b601d84a6782e70d36cbf5&sot=b&sdt=b&sl=42&s=TITLE-ABS-KEY%28iOS+mobile+malware+analysis%29&relpos=2&citeCnt=0&searchTerm= |
ISSN: | 2263-8733 | DOI: | 10.1007/s11416-023-00477-y |
Appears in Collections: | Scopus |
Files in This Item:
File | Description | Size | Format | |
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iOS mobile malware analysis a state-of-the-art.pdf | 1.17 MB | Adobe PDF | View/Open |
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