Abstract
Since the Mirai botnet attacks in 2016 research into the Internet of Things (IoT) botnet malware has increased substantially. IoT botnet relevant threats continue to rise, impacting businesses and users. This paper aims to contribute to the problem space by compiling and synthesizing the relevant literature over the last five years to provide an overview of the most recent advances in IoT botnets, their detection and prevention, and laying down the future research directions required to better address this ever growing threat.
Highlights
A S computing has become more miniaturized over time, smaller devices could be attached to networks
We focus on different papers within the same problem space (i.e., Internet of Things (IoT) botnet instead of botnet broadly) in the form of a targeted literature review focusing on the more stringently reviewed research publications published at a higher quality conferences and journals
Artificial intelligence and machine learning models are a promising avenue of research into botnet detection and can be used in mitigation
Summary
A S computing has become more miniaturized over time, smaller devices could be attached to networks. This started as industrial control systems, in areas such as electricity generation and distribution, and water treatment and pumping, with physical devices such as pumps or relays being actuated remotely. As prices dropped in the 2010’s, small devices started to appear in the homes of wealthy countries as convenience devices. This included programmable space heaters, lighting, and air conditioning devices. With the rise of smartphones and always-connected Internet services these devices, along with remote industrial and scientific instruments, are starting to become more ubiquitous. The Internet of Things (IoT) was born [1]
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