Taxonomy of malware analysis in the IoT

Abstract

Internet of Things (IoT) totally transformed our world on many levels and in many fields either industry, health, economy, energy saving, etc. According to Cisco by 2020 there will about 50 billion IoT connected devices and this causes many issues specially security problems. IoT devices are widely used everywhere and leads to user privacy, big data as well as in data and server management problems but malware is from the biggest challenges facing IoT devices where there are different types of malware like viruses, Trojan horses, worms, spy-ware and viruses, which can access and manipulate confidential information or cause a running problem in the system. As there are many types of malware but at the same time there are different approaches for malware analysis. Therefore there are many approaches to handle malware analysis and each approach has its pros and cons. In this paper we will discuss security issues in IoT devices and different approaches for malware analysis and build a taxonomy for malware analysis tools and methodologies from different points of view as well as the advantages and disadvantages of each approach.