Comparative Analysis of Machine Learning based Intrusion Detection in Realistic IoT Networks
The Internet of Things (IoT) is rapidly growing and expanding into various sectors, such as healthcare, transportation, smart homes, and more. Despite the benefits of using IoT devices, they present several challenges. Given the significant role these devices play in our lives, it is crucial to address issues related to their security and privacy. These devices are limited in resources, which complicates their security and the protection of the data that they manage. The paper aims to examine in
Record details
Published: 30 June 2026
Source: arXiv cs.CR (AI security)
Category: Research
Topics: Privacy · Healthcare
Retrieved: 14 July 2026
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ethics.ai (30 June 2026), “Comparative Analysis of Machine Learning based Intrusion Detection in Realistic IoT Networks,” evidence record 3044, https://ethics.ai/record/3044 (originally published by arXiv cs.CR (AI security)).
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