Security in IoT-based Smart Homes: A Taxonomy Study of Detection Methods of Mirai Malware and Countermeasures
Rufaida Auliar, Girish Bekaroo · 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) · 2021
During recent years, there has been widespread adoption of the Internet and swift digitization within various sectors, including smart homes. These also led to the rapid growth of the Internet of Things (IoT), which is expected to proliferate further, where 50 billion IoT devices are estimated to be connected to the Internet by 2030. However, the growth in connected IoT devices to the Internet has not been without challenges. IoT devices are known to have various vulnerabilities that could be exploited by attackers, thus hindering security of devices and users. Recently, the use of Mirai malware by attackers gained significant attention as it has the capability to transform IoT connected devices into remotely controlled bots, which can be utilized as part of a botnet in large-scale network attacks. Taking cognizance of the importance to secure against this type of malware, this study presents a taxonomy review on the techniques that can potentially be used to detect Mirai malware along with countermeasures for securing against such malware.