Classification for iOS Mobile Malware Inspired by Phylogenetic: Proof of Concept
Muhammad Afif Husainiamer, Madihah Mohd Saudi, Azuan Ahmad · 2020
There are raising cases of mobile malwares exploiting iOS users across the world such as FinSpy and Exodus that were able to steal credential information from the victims and affect loss of victims' productivity. Yet, not many solutions were able to encounter iOS malware attacks. Hence, this paper presents a new iOS mobile malware classification based on mobile behaviour, vulnerability exploitation inspired by phylogenetic concept. The experiment was conducted by using hybrid analysis. Proof of concept (POC) was conducted and based on the POC it indicated that this proposed classification is significant to detect the malware attacks. In future, this proposed classification will be the input for iOS mobile malware detection.