IoTEnsemble: Detection of Botnet Attacks on Internet of Things

Li, Ruoyu; Li, Qing; Huang, Yucheng; Zhang, Wenbin; Zhu, Peican; Jiang, Yong

doi:10.1007/978-3-031-17146-8_28

Cited by 5 publications

(1 citation statement)

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“…Cybercriminals exploit known vulnerabilities to scan networks and launch attacks aimed at taking control of devices (Zhao et al, 2022). Notably, the number of malware attacks targeting interconnected infrastructures has significantly increased in recent years (Al Alsadi et al, 2022;Li et al, 2022). This is mainly due to the widespread presence of vulnerable IoT devices and poorly secured networks (Costin et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Exploring Shifting Patterns in Recent IoT Malware

Carrillo-Mondejar,

Suarez-Tangil,

Costin

et al. 2024

eccws

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The rise of malware targeting interconnected infrastructures has surged in recent years, driven largely by the widespread presence of vulnerable legacy IoT devices and inadequately secured networks. Despite the strong interest attackers have in targeting this infrastructure, a significant gap remains in understanding how the landscape has recently evolved. Addressing this knowledge gap is essential to thwarting the proliferation of massive botnets, thereby safeguarding end-users and preventing disruptions in critical infrastructures. This work offers a contemporary analysis of Linux-based malware, specifically tailored to IoT malware operating in 2021-2023. Using automated techniques involving both static and dynamic analysis, we classify malware into related threats. By scrutinizing the most recent dataset of Linux-based malware and comparing it to previous studies, we unveil distinctive insights into emerging trends, offering an unparalleled understanding of the evolving landscape. Although Mirai and Gafgyt remain the most prominent families and present a large number of variants, our results show that (i) there is an increase in the sophistication of malware, (ii) malware authors are adding new exploits to their arsenal, and (iii) malware families that originally attacked Windows systems have been adapted to attack Linux-based devices.

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Section: Introductionmentioning

confidence: 99%