Veto: Prohibit Outdated Edge System Software from Booting

Röckl, Jonas; Wagenhäuser, Adam; Müller, Tilo

doi:10.5220/0011627700003405

Cited by 2 publications

(1 citation statement)

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“…For example, in IoT 2024, 5 124 2020, a vulnerability known as "Ripple20" was discovered, affecting millions of IoT devices across various industries, including edge computing devices. This vulnerability allowed attackers to remotely execute malicious code, potentially leading to data breaches or system compromise [3]. Another notable incident involved the exploitation of a vulnerability in the "Treck" TCP/IP stack, affecting numerous IoT and edge devices.…”

Section: Introductionmentioning

confidence: 99%

Analyzing Threats and Attacks in Edge Data Analytics within IoT Environments

Mahadevappa,

Al-amri,

Alkawsi

et al. 2024

IoT

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Edge data analytics refers to processing near data sources at the edge of the network to reduce delays in data transmission and, consequently, enable real-time interactions. However, data analytics at the edge introduces numerous security risks that can impact the data being processed. Thus, safeguarding sensitive data from being exposed to illegitimate users is crucial to avoiding uncertainties and maintaining the overall quality of the service offered. Most existing edge security models have considered attacks during data analysis as an afterthought. In this paper, an overview of edge data analytics in healthcare, traffic management, and smart city use cases is provided, including the possible attacks and their impacts on edge data analytics. Further, existing models are investigated to understand how these attacks are handled and research gaps are identified. Finally, research directions to enhance data analytics at the edge are presented.

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Section: Introductionmentioning

confidence: 99%