A Quantitative Assessment of Emerging Trends in IoT Botnet Attacks

Abstract

In recent years, the world has witnessed a great increase in IoT Botnet attacks. Since these IoT devices are heterogeneous and typically resource-constrained with less processing and memory resources available to employ an efficient security mechanism. Moreover, the attack vectors and malicious adversaries have become advanced both in terms of complexity and diversity. This implies an effective mechanism to efficiently identify and prevent IoT Botnet attacks. This study aims to present a methodological quantitative assessment of the research conducted in the area of IoT Botnets from the year 2015 to 2022. Typically, the ISI Web of Science (WoS) along with VOSviewer (a software tool for constructing and visualizing bibliometric networks) are used to conduct the overall bibliometric assessment. Our assessment shows that the research in this area encompasses multiple domains with the USA leading in terms of research publication with English as the leading language. This bibliometric assessment provides an in-depth quantitative analysis based on the 9 research questions formulated during our research. This consequently helps the research community to collaborate with other researchers, institutions and funding agencies to make further progress in this area.