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A Review on Malware Analysis for IoT and Android System

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Abstract

Today all humankind is willing to avail more facilities and hopes everything should be available with a click of the button. In order to offer different services, the developers have come with inbuilt modules of several systems. This make easy system develoment and services may be offered intantly. These services are connected to the internet and accessible via Android phones and IoT devices. But this inbuilt module suffers from a lot of vulnerabilities, bugs, and default settings which may be difficult to change, as happened at the time of changing the password of home-based Wi-Fi router, which require external applications and OTP verifications, etc. Due to these issues and new hacking tools and techniques, security is a major challenge today. The basic framework to provide adequate security of the system comprises five following principles: integrity, confidentiality, availability, privacy, and nonrepudiation. The attacker may leverage advantage of any shortcomings that may lead to several issues. This work explores the cause of threads/vulnerability particularly for IoT, IIoT, SCADA, and Android application systems. The structure of this work is divided in different sections like, a short introduction to Malware, how it infects the system, and a detailed malware exploitation plan that is generally followed by expert attackers to exploit the vulnerabilities related to critical infrastructure or to defame the organization or countries is presented. In addition, General framework based introduction on IoT and Android is also presented with common vulnerabilities at every stage and respective mitigation strategies. Both static and dynamic analyses are evaluated in this work. It is identified that, for a better model design and evaluation, both are highly recommended for the implementation of effective malware detection strategies. Along with these models in order to protect the infra-structure Honeynet, IDS, IPS, Hardware-based securities like CPU and Memory and forensic analysis are also very effective.

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    Chandra Shekhar Yadav

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    Sangeeta Gupta

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Yadav, C.S., Gupta, S. A Review on Malware Analysis for IoT and Android System. SN COMPUT. SCI. 4, 118 (2023). https://doi.org/10.1007/s42979-022-01543-w

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